Dhirubhai Ambani Institute of Information and Communication Technology
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Clinical Appointment Specialist
Qatar University
Qatar
Qatar University
Qatar
General Information Job Family: Academic College/Department: QU Health. VPMHS office Supervisor: Director for clinical affairs Working Relationships Internal Relationships QU Health colleges (CMED, CDEN, CPH, CNUR, CHS) Clinical faculty Clinical appointments committee QU Health Director for Clinical Education Heads of Clinical Training for colleges External Relationships Clinical affiliates (HMC, PHCC, Sidra, Aspetar, private hospitals and clinics) External stakeholders related to clinical education and licensing Job Summary and Key Responsibilities Job Summary The Clinical Appointment Specialist is responsible for organizing and overseeing clinical appointments and faculty licensing. This position ensures smooth collaboration between QU Health and its clinical affiliates by handling faculty appointments, licensing, and QU Health Graduates’ recruitment. Moreover, the Clinical Appointment Specialist acts as a primary point of contact with external stakeholders, contributing to the effectiveness and success of clinical education programs. Responsibilities include also supporting the development of innovative evaluation tools and manages data collection, reporting, and the dissemination of information through reports and newsletters. Key Responsibilities The candidate of this position will be responsible to effectively work with multiple interfaces including colleges (departments heads, associate dean for academic affairs, and dean); colleges under the QU-Health cluster (QU-health Director for clinical education and heads of clinical training for colleges); and clinical Affiliates (mainly, but not limited to HMC; PHCC, Sidra; Aspetar, and private hospitals and clinics). And MOPH for licensing. Roles and Responsibilities include: Clinical Appointments: Facilitate Clinical Affiliate Engagement and Streamline the Clinical Appointment Process: Act as the primary point of contact for clinical affiliates, providing comprehensive support and guidance throughout the application and recruitment process at various QU Health colleges (CMED, CDEN, CPH, CNUR, and CHS). Offering guidance and answering questions to help applicants navigate the process successfully. Tracking the status of applications and communicating updates to applicants in a timely manner. Build and maintain strong relationships with clinical affiliates, ensuring a positive and efficient experience. Oversee the entire clinical appointment process, collaborating closely with clinical faculty to ensure a smooth and efficient application and recruitment workflow. Develop and implement standardized procedures to optimize efficiency and transparency. Conduct Thorough Application Reviews: Review applications from clinical affiliates, meticulously checking for completeness and accuracy. Request additional details or information from applicants as needed to ensure a comprehensive evaluation. Create and maintain detailed checklists for applicants to ensure all required documentation and information are submitted for rank recommendations. Monitor Offer Status sent by the Academic Recruitment Office: Follow up and track the status of offers sent by the Academic Recruitment Office to clinical affiliates. Monitor acceptance rates and manage appeals from applicants, ensuring timely and appropriate responses Manage Applicant Appeals: Respond to appeals from clinical appointment applicants in a timely and professional manner. Prepare comprehensive appeal cases for review by the Appeals Committee, ensuring all relevant information is presented accurately. Manage Clinical Appointments and Renewals: Manage and organize all aspects of clinical appointments and contract renewals, ensuring adherence to university policies and procedures. Maintain accurate records of appointments and renewals, tracking key dates and deadlines. Oversee Applications for Promotion: Manage and organize requests from clinical affiliates seeking promotion to a higher rank. Carefully review each application to ensure it meets all requirements and adheres to university policies and procedures. Communicate with applicants regarding their eligibility for promotion. Provide detailed explanations to those who do not meet the criteria for a higher rank, offering guidance and support for future applications. For eligible applicants, develop and maintain detailed checklists to ensure all required documentation and information is submitted for rank recommendations. Oversee Annual Appraisal Process: Manage the annual appraisal process for all clinical appointees, sending timely reminders and completeness of appraisal responses collecting feedback from colleagues and clerkship directors to verify the accuracy. Track clinical affiliates research output Systematically track the research output of clinical affiliates, ensuring that they accurately attribute their publications to QU as their affiliation and contacting affiliates as needed. Analyze the impact of clinical affiliates' publications on QU's research ranking and visibility by using tools like SciVal and Elsevier. Create and maintain a comprehensive database of clinical affiliates' research profiles and Scopus IDs for each affiliate. Manage Clinical Teaching/Research Awards: Announce and promote clinical teaching/research awards, providing guidance and support to clinical affiliates throughout the application process. Review applications and prepare documentation for review by the Awards Committee. Coordinate Clinical Appointment Events: Plan and execute clinical appointment events, managing logistics, invitations, and communication with VIPs. Oversee all aspects of event preparation to ensure a successful and engaging experience for attendees. Ensure Data Accuracy and Consistency: Manage the archiving and maintain an up-to-date database for all clinical appointments, ensuring accurate and accessible records. Communicate regularly with HR after each recruitment cycle to ensure that the records of clinical affiliates are accurate and consistent across all departments and systems. Address any discrepancies promptly. Prepare Comprehensive Annual Reports: Compile and submit annual reports for the unit, including statistics on new, renewed, and non-renewed appointments, as well as achievements and contributions of clinical faculty. Analyze data and provide insights to inform decision-making. Provide Logistical Support: Offer logistical support to clinical appointees, including arranging on-campus visits, coordinating lectures, and facilitating access to necessary resources. Licensing Function of QU Faculty Members: Facilitate Licensing Applications: Provide comprehensive support to QU faculty members throughout the licensing application process and requirements. Ensuring application files are complete, accurate, and submitted on time. Acting as a liaison between faculty and the licensing authority (e.g., Department of Healthcare Professions - DHP). Troubleshooting any issues that may arise during the application process. Manage Licensing Documentation: Oversee the collection and verification of all necessary documentation for faculty licensing applications. (Academic credentials and transcripts, Professional certifications and licenses. and other relevant documents as required by the licensing authority. Process License Transfers and Renewals: Manage the timely and accurate processing of license transfers and renewals for QU faculty members. Tracking license expiration dates and initiating renewal processes in advance. Facilitating the transfer of licenses for faculty members joining QU from other institutions or countries. Ensuring compliance with all relevant regulations and deadlines. Maintain Licensing Database: Establish and maintain a comprehensive database of all licensed QU (contact information, license type and status, expiration dates and renewal history), any other relevant information related to faculty licensure. Monitor Compliance with DHP Regulations: Monitor QU Health faculty members' clinical practice to ensure compliance with DHP regulations and maintain their clinical licensure. This may involve: Staying up to date on DHP regulations and any changes that may occur. Providing guidance and support to faculty on licensing requirements and best practices. Conducting periodic audits of faculty clinical practice to ensure compliance. Focal Point with External Stakeholders: Assists in coordinating, supervising, and completing special projects as appropriate. Perform other tasks and duties that may be occasionally required to meet the requirements of the role and the aims of the University. Act as the primary point of contact between stakeholders (HMC, HMDAC, MOPH, PHCC, other institutions) and the health cluster. Ensure smooth communication and address any challenges or concerns that arise during clinical affiliation. Represent QU Health in HMC-HR Meetings: Serve as the primary representative for QU Health in meetings with Hamad Medical Corporation's (HMC) Human Resources department. Track and prepare agreements in line with the existing MOUs between HMC and QU, with a focus on the recruitment of QU graduates. Collaborate with HMC-HR to facilitate the recruitment of QU graduates into HMC, by sharing information about QU Health programs and graduate Tracking the hiring and onboarding of QU graduates at HMC and provide updates on the recruitment process for QU graduates at HMC. Streamlining QU faculty supervision for QU students completing clinical placements at HMC. Any other academic-related issues that may arise between QU and HMC. Qualifications Education and Certifications MSc or equivalent in health-related fields PhD degree or equivalent in health-related fields (preferred) Languages Bilingual (Arabic/English) skills preferred but not mandatory. Excellent English written and verbal communication skills. Ability to read, analyze and interpret common scientific and technical journals, financial reports, and legal documents. Experience and workshops and Job requirements Has professional and/or administrative experience in relevant settings. Has documented accomplishments in teaching, research, and service at a level to be appointed as a faculty member in one of the academic departments of the colleges. Competencies Leadership Competencies / Proficiency Level Leadership and Management Skills: Demonstrated leadership and management abilities to effectively guide and develop faculty members and support staff. Effective interactions with other colleges and departments within Qatar University and with external funding agencies and institutions. Organizational Skills: Strong organizational and time management skills. Meticulous attention to detail and accuracy. Excellent written and verbal communication skills, conveying information clearly and concisely. Communication and Interpersonal Skills: Excellent written and verbal communication skills, conveying information clearly and concisely. Strong interpersonal skills, building rapport and maintaining positive working relationships with diverse individuals. Ability to respond effectively to communications from various stakeholders, including organizations, colleges, faculty, staff, students, and external partners. Demonstrated ethical behavior, professionalism, and strong interpersonal skills to build and maintain positive working relationships. Analytical and Problem-Solving Skills: Critical Thinking: Ability to define problems, collect data, establish facts, and draw valid conclusions to solve problems and plan initiatives. Data Interpretation: Ability to interpret technical instructions, including those presented in mathematical or diagram form, and to deal with abstract and concrete variables. Knowledge and Expertise: Understanding of Qatar University's policies and procedures related to faculty appointments, clinical affiliations, and collaborations with external institutions. Behavioral Competencies / Proficiency Level Teamwork and Collaboration: Ability to work effectively both independently and as part of a team. Collaborative approach, readily sharing information and supporting colleagues. Professionalism and Work Ethic: Maintains confidentiality and handles sensitive information with discretion. Demonstrates reliability and dependability, consistently meeting deadlines and fulfilling commitments. Takes initiative and demonstrates a proactive approach to problem-solving. Technical Competencies / Proficiency Level Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint, etc.)
Salary
Competitive
Posted
26 Dec 2025
Associate Research Scientist in the Division of Engineering Dr. Rafael (Yong-Ak) Song
New York University Abu Dhabi Corporation
United Arab Emirates, Abu Dhabi
New York University Abu Dhabi Corporation
United Arab Emirates, Abu Dhabi
Description The Micro- and Nanoscale Bioengineering Lab (MNBL) at New York University Abu Dhabi is seeking to recruit a research associate for biosensing of cardiovascular diseases. Applicants with a strong background in biosensor design and fabrication, as well as in clinical diagnostics, are encouraged to apply. Research in the MNBL focuses on the design and fabrication of biosensors for the early detection of cardiovascular diseases. Responsibilities of the position include the development of 2D materials-based biosensors for the detection of miRNAs. The candidate will work in a multidisciplinary environment comprising PhD-level scientists, graduate students, and undergraduate students, thereby acquiring valuable skills in writing manuscripts and establishing collaborations across disciplines. Applicants must hold a PhD degree in the science/engineering field. They must also have excellent biosensing expertise; multi-year experience in clinical diagnostics is a plus. Applicants must submit a cover letter, a curriculum vitae with a full publication list, transcript, a statement of research interests, and two letters of reference, all in PDF format. If you have any questions, please email Prof. Rafael Song at rafael.song@nyu.edu/. The terms of employment are very competitive and include housing and educational subsidies for children. Applications will be accepted immediately, and candidates will be considered until the position is filled. To be considered, all applicants must submit a cover letter, curriculum vitae, transcript of degree, a one-page summary of research accomplishments and interests, and at least two letters of recommendation, all in PDF format. Please visit our website at http://nyuad.nyu.edu/en/about/careers/faculty-positions.html for instructions and information on how to apply. If you have any questions, please email: mrasras@nyu.edu. About NYU Abu Dhabi https://nyuad.nyu.edu/en/ NYU Abu Dhabi is the first comprehensive liberal arts and research campus in the Middle East to be operated abroad by a major American research university. Times Higher Education ranks NYU among the top 30 universities in the world, making NYU Abu Dhabi the highest-ranked university in the UAE and MENA region. NYU Abu Dhabi has integrated a highly selective undergraduate curriculum across the disciplines with a world center for advanced research and scholarship. The university enables its students in the sciences, engineering, social sciences, humanities, and arts to succeed in an increasingly interdependent world and advance cooperation and progress on humanity’s shared challenges. NYU Abu Dhabi’s high-achieving students have come from over 120 countries and speak over 100 languages. Together, NYU's campuses in New York, Abu Dhabi, and Shanghai form the backbone of a unique global university, giving faculty and students opportunities to experience varied learning environments and immersion in other cultures at one or more of the numerous study-abroad sites NYU maintains on six continents. NYUAD is committed to upholding a culture of non-discrimination, anti-harassment, dignity, and mutual respect; providing equal access and opportunity; and fostering academic excellence in learning, research, and teaching. UAE Nationals are encouraged to apply.
Salary
Competitive
Posted
26 Dec 2025
Postdoctoral Fellow, LU Presidential Postdoctoral Research Fellowship Scheme
Lingnan University
Hong Kong, Tuen Mun
Lingnan University
Hong Kong, Tuen Mun
LU PRESIDENTIAL POSTDOCTORAL RESEARCH FELLOWSHIP SCHEME Postdoctoral Fellow (Post Ref.: 24/888) Lingnan University is one of the eight publicly funded institutions in the Hong Kong Special Administrative Region (HKSAR) and has the longest established tradition among the local institutions of higher education. It is widely recognised for providing quality education with a focus on whole-person development and conducting high-impact research for a better world. Moving forward, Lingnan University is well positioned to take lead as a comprehensive university in arts and sciences in the digital era, with impactful research and innovations. Lingnan University offers undergraduate, taught postgraduate, and research postgraduate programmes in the Faculties of Arts, Business, Social Sciences, and the Schools of Data Science, Graduate Studies and Interdisciplinary Studies. To foster interdisciplinary collaboration and scientific progress, Lingnan University established the Lingnan University Institute for Advanced Study (LUIAS), attracting distinguished scholars from around the world to collaborate with its faculty and students. With traditional strengths in arts, business, social sciences, and interdisciplinary studies, the University aims to equip students with practical knowledge and critical thinking skills to thrive in the future. Subsequent to the establishment of the School of Data Science and LUIAS, Lingnan University is transforming into a hub for global leaders to develop and promote human-centric technology and social policies. Further information about Lingnan University is available at https://www.ln.edu.hk/. We are launching the LU Presidential Postdoctoral Research Fellowship Scheme (PPRF) and invite applications from early career researchers from all over the world. Successful candidates will have the opportunity to collaborate with our academics in a supportive and dynamic research environment. The University will provide them with the resources, expertise, and mentorship to achieve their research goals. Eligibility Applicants should have obtained / been conferred a PhD degree or an equivalent qualification, and the PhD degree should have been received no more than three years prior to the start of the Fellowship. They are expected to have a good research track record and demonstrate good potential in publishing high quality papers. Duration and Requirements of the Fellowship The duration of the Fellowship will normally be three years. The appointment will normally be made on an initial contract of 1 year, and further appointment for a period of 2 years is subject to the appointee’s satisfactory performance. The appointees are required to submit applications for the RGC Junior Research Fellow Scheme (JRFS) or the JC STEM Early Career Research Fellowship for Translation and Application (JC STEM ECRF), and are encouraged to apply for other local / overseas grants or fellowship schemes. Terms and Benefits The conditions of appointment will be competitive. Remuneration will be commensurate with qualifications and experience. Fringe benefits include annual leave, medical and dental benefits, mandatory provident fund, gratuity, and incoming passage and baggage allowance for the eligible appointees. The appointees will also be provided with research funding of HK$10,000 per year to support their research activities. Application Procedure Applicants are required to contact potential supervisors at Lingnan University and submit a research proposal (as discussed/developed by the applicants in conjunction with the potential supervisors) together with their applications. In the research proposal, please also indicate the name and the department of the potential supervisor. Please click "Apply Now" to submit your application. Applicants shall provide names and contact information of at least three referees to whom applicants’ consent has been given for their providing references. Personal data collected will be used for recruitment purposes only. We are an equal opportunities employer. Review of applications will continue until the posts are filled. Qualified candidates are advised to submit their applications early for consideration. The University reserves the right not to make an appointment for the posts advertised, or to fill the posts by invitation or by search. We regret that only shortlisted candidates will be notified.
Salary
Competitive
Posted
26 Dec 2025
Research Fellow (AI in IoT Networks) - ET
Singapore Institute of Technology (SIT)
Singapore
Singapore Institute of Technology (SIT)
Singapore
Job Description As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT. We are seeking a highly motivated and talented Research Fellow to join an exciting applied research project within the Infocomm Technology cluster at SIT. This project addresses the critical challenge of delivering real-time Artificial Intelligence (AI) services in Internet of Things (IoT) networks, where latency and timeliness are paramount. The successful candidate will be responsible for the end-to-end investigation of novel edge-assisted offloading strategies for IoT networks. The role will bridge rigorous theoretical work with hands-on offloading algorithm design and development for IoT networks. The core responsibility is to build and validate edge-assisted offloading strategies, complete with software APIs, through rigorous simulations and live demonstrations. This position is ideal for a researcher with a passion for solving complex problems at the intersection of wireless communications, edge computing, and machine learning, and who is eager to translate theoretical insights into practical, IoT systems. Key Responsibilities Participate in and manage the research project with Principal Investigator (PI) to ensure all project deliverables are met. Derivation of closed-form theoretical latency and timeliness expressions for cloud-hosted AI services and edge-assisted offloading strategies. Analysis of theoretical latency and timeliness for cloud-hosted AI services and edge-assisted offloading strategies. Design and development of edge-assisted offloading strategy and associated software APIs. Validation of edge-assisted offloading strategy via simulations and live demonstrations. Job Requirements A Ph.D degree in Computer Engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly analytical, proactive and a team player. Strong theoretical background in wireless communications or edge computing will be advantageous. Proven track record in research and development of edge intelligence algorithms will be advantageous. Knowledge of machine learning or reinforcement learning techniques will be advantageous. Proficiency in algorithm development using Python will be advantageous
Salary
Competitive
Posted
26 Dec 2025
Postdoctoral Fellow - Frontier of AI driven Inverse Design of Functional Materials, WJYSIS
Lingnan University
Hong Kong, Tuen Mun
Lingnan University
Hong Kong, Tuen Mun
Lingnan University is one of the eight publicly funded institutions in the Hong Kong Special Administrative Region (HKSAR) of the People’s Republic of China (PRC) and has the longest established tradition among the local institutions of higher education. It is widely recognised for providing quality education with a focus on whole-person development and conducting high-impact research for a better world. Moving forward, Lingnan University is well positioned to take lead as a comprehensive university in arts and sciences in the digital era, with impactful research and innovations. Lingnan University offers undergraduate, taught postgraduate, and research postgraduate programmes in the Faculties of Arts, Business, Social Sciences, and the Schools of Data Science, Graduate Studies and Interdisciplinary Studies. To foster interdisciplinary collaboration and scientific progress, Lingnan University established the Lingnan University Institute for Advanced Study (LUIAS), attracting distinguished scholars from around the world to collaborate with its faculty and students. With traditional strengths in arts, business, social sciences, and interdisciplinary studies, the University aims to equip students with practical knowledge and critical thinking skills to thrive in the future. Subsequent to the establishment of the School of Data Science and LUIAS, Lingnan University is transforming into a hub for global leaders to develop and promote human-centric technology and social policies. Further information about Lingnan University is available at https://www.ln.edu.hk/. Applications are now invited for the following post: Postdoctoral Fellow - Frontier of AI driven Inverse Design of Functional Materials Wu Jieh Yee School of Interdisciplinary Studies (Post Ref.: 25/176) Professor Xi Chen, Dean of the Wu Jieh Yee School of Interdisciplinary Studies and Chair Professor of Interdisciplinary Studies, leads an interdisciplinary team working at the frontier of AI driven inverse design of functional materials. Current research directions include: Reversible material representation methods for accelerated inverse design Large language, diffusion & graph neural models for materials discovery Fine tuning and architecture optimisation of foundation models Inverse design of next generation functional materials (e.g. energy, sustainability) The group partners closely with leading institutes in Hong Kong, Shenzhen, and worldwide, offering an exciting, collaborative research environment. The appointee will work as part of the team. This involves (1) conducting independent and collaborative research leading to publications in top tier journals and conferences; (2) contributing to grant proposal writing and collaborative projects; and (3) mentoring junior researchers and assisting with laboratory management. Requirements The candidate should have obtained / been conferred a PhD degree or an equivalent qualification in Materials Science, Mechanical / Applied Mechanics, Physics, Computer Science, Data Science, or a closely related field for no more than three years prior to the commencement of the appointment. The candidates should have a strong track record in at least one of the group’s research areas, preferably demonstrated by publications in high-impact venues. Experience with machine learning frameworks (e.g., PyTorch, JAX) and / or computational materials methods is essential. Additionally, the candidate should possess an excellent command of written and spoken English and demonstrate the ability to work independently as well as part of a multidisciplinary team. Appointment The conditions of appointment will be competitive. Commencing salary will be commensurate with qualifications and experience. Fringe benefits include annual leave, medical and dental benefits, mandatory provident fund, gratuity, and incoming passage and baggage allowance for the eligible appointee. The appointment will normally be made on an initial contract of up to two years. Application Procedure (online application only) Please click "Apply Now" to submit your application. Personal data collected will be used for recruitment purposes only. We are an equal opportunities employer. The review of applications will start and continue until the post is filled. Qualified candidates are advised to submit their applications early for consideration. The University reserves the right not to make an appointment for the post advertised, or to fill the post by invitation or by search. We regret that only shortlisted candidates will be notified.
Salary
Competitive
Posted
26 Dec 2025
Subjects Taught at Dhirubhai Ambani Institute of Information and Communication Technology
See below for a range of subjects taught at Dhirubhai Ambani Institute of Information and Communication Technology
Computer Science
- Computer Science
Engineering
- Electrical and Electronic Engineering
Social Sciences
- Communication and Media Studies