Al-Balqa Applied University

Description The Clinical Artificial Intelligence Lab at NYU Abu Dhabi seeks to improve patient care by developing new machine learning methodologies that tackle unique computational problems in healthcare applications. We use large real-world complex datasets, including data extracted from electronic health records and medical images, for applications pertaining to patient diagnostics and prognostics. We are seeking a Postdoctoral Researcher to join the team and make significant contributions to the field. The researcher is expected to have (i) strong machine learning skills to improve model performance and robustness, and (ii) exemplary passion and motivation to pursue multidisciplinary research at the intersection of computing and healthcare. Methodologies of interest include: Multi-modal learning Foundation models, including large language models Agentic AI Multi-agent AI systems Transfer learning Self-supervised learning Federated learning The Postdoctoral Researcher will be primarily based at NYU Abu Dhabi. The researcher will report directly to Dr. Farah Shamout and work in close collaboration with other researchers, PhD students, and undergraduate research assistants. The researcher will engage with our regular collaborators across the NYU campuses and local medical institutions in the UAE. Key Responsibilities Research Support the supervisor in developing and implementing the research agenda; Conduct high-quality and innovative research primarily focused on ML methodology development for healthcare; Generate new high-impact ideas based on gaps and limitations of the state-of-the-art (SOTA); Design and implement experiments to compare proposed work with SOTA baselines; Publish research findings in high-impact journals and conferences; Communicate and present research findings at international academic gatherings; Create, maintain, and document high-quality research code for reproducibility; Maintain good practice in managing and accessing sensitive medical datasets; Assist the supervisor in the preparation of grant applications (as appropriate); And collaborate with scientists within the NYU Global Network and in Abu Dhabi. Training & professional development Attend trainings and workshops for career development; Mentor PhD students and undergraduate research assistants (as appropriate); Actively participate in events and committees at NYU Abu Dhabi, such as the Postdoctoral Council Steering Committee; Gain experience in applying for local research grants (subject to eligibility); And transition to independence to pursue a career of choosing following the appointment. * The researcher will create a personalized training and development plan with the supervisor. Minimum Qualifications Currently has or is in the process of completing a PhD, MD/PhD, DPhil or equivalent terminal degree from a recognized institution (no more than 5 years since completing the doctoral degree) Doctoral research in the area of machine learning and artificial intelligence Bachelor’s/ Master’s degree in computer science, mathematics, computer engineering, or relevant technical field First-author peer-reviewed published papers (or under review) Proficient programming experience in Python and libraries (e.g., Pytorch, TensorFlow) with several years of practice Experience in maintaining high-quality code on Github Experience in running and managing experiments using GPUs Ability to visualize experimental results and learning curves Effective inter-personal and team-building skills Self-motivated with an ability to work independently and in a team to get the work done Excellent communication skills (oral and written communication) Willingness to learn and confront new challenges Preferred Qualifications Doctoral research conducted in the area of machine learning for healthcare and related topics Deep knowledge of multi-modal learning, transfer learning, foundation models, and self-supervised learning. Experience in dealing with large medical datasets (e.g., electronic health records data or medical images) Ability to use high performance computing cluster For consideration, applicants need to submit a cover letter, curriculum vitae with full publication list, research statement (1-page), project proposal summary (1-page), and three letters of reference, and a transcript, all in PDF format. If you have any questions, please email Prof. Farah Shamout at farah.shamout@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. Please visit our website at http://nyuad.nyu.edu/en/about/careers/faculty-positions.html for instructions and information on how to apply. About NYUAD: NYU Abu Dhabi is a degree-granting research university with a fully integrated liberal arts and science undergraduate program in the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYU’s global network university, an interconnected network of portal campuses and academic centers across six continents that enable seamless international mobility of students and faculty in their pursuit of academic and scholarly activity. This global university represents a transformative shift in higher education, one in which the intellectual and creative endeavors of academia are shaped and examined through an international and multicultural perspective. As a major intellectual hub at the crossroads of the Arab world, NYUAD serves as a center for scholarly thought, advanced research, knowledge creation, and sharing, through its academic, research, and creative activities. EOE/AA/Minorities/Females/Vet/Disabled/SexualOrientation/Gender Identity Employer UAE Nationals are encouraged to apply.

Description The Division of Engineering (Civil and Urban Engineering) in New York University Abu Dhabi seeks to recruit a post-doctoral associate to work on research centering around infrastructure systems and the environment under the supervision of Dr. Ahmad Bin Thaneya. The post-doctoral associate will lead collaborative efforts in advancing research focusing on the intersection of infrastructure, climate, and human health. Examples of current active projects include: Developing optimization models to analyze and mitigate fine particulate matter (PM2.5) exposure from various infrastructure systems (e.g., transportation networks, manufacturing systems, and truck routing). Assessing the relevance of the intake fraction (i.e., exposure efficiency) of major emission sources as a critical metric for infrastructure design, management, and policymaking. Investigating the residual sources of PM2.5 exposure from transportation systems following electric vehicle (EV) adoption, including exposure due to emissions from electricity generation for charging EVs, buses, trucks, rail, pavement resurfacing, tire and brake wear, and supply chain effects. Conducting life-cycle uncertainty assessments of building materials, carbon sinks (e.g., carbon dioxide removal options), and alternative low-carbon fuel sources. Candidates should demonstrate a strong theoretical background and proficiency in one or more of the following areas: infrastructure systems modeling, emissions inventory development, air quality modeling (chemical transport models and/or reduced-complexity models), exposure assessment of airborne pollutants, and life-cycle assessment. The post-doctoral associate will be expected to lead research efforts and contribute to publications in reputable academic journals. Qualifications: A PhD in Civil and Environmental Engineering or a related field High proficiency in programming languages (e.g., Python or MATLAB) A strong record of authorship in peer-reviewed academic journals Excellent interpersonal and communication skills to support effective collaboration For consideration, applicants need to submit a cover letter, curriculum vitae with full publication list, statement of research interests, a transcript, and two letters of reference, all in PDF format. If you have any questions, please email aab8693@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. About NYUAD: NYU Abu Dhabi is a degree-granting research university with a fully integrated liberal arts and science undergraduate program in the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYU’s global network university, an interconnected network of portal campuses and academic centers across six continents that enable seamless international mobility of students and faculty in their pursuit of academic and scholarly activity. This global university represents a transformative shift in higher education, one in which the intellectual and creative endeavors of academia are shaped and examined through an international and multicultural perspective. As a major intellectual hub at the crossroads of the Arab world, NYUAD serves as a center for scholarly thought, advanced research, knowledge creation, and sharing, through its academic, research, and creative activities. EOE/AA/Minorities/Females/Vet/Disabled/Sexual Orientation/Gender Identity Employer UAE Nationals are encouraged to apply.

Instructor/Assistant ProfessorSocial Work and Field Education Coordinator - Fall 2026ID: 2033Department: College of Humanities and SciencesType: Full-time FacultyPost Date: 12/19/2025Position Available Date: N/ADescriptionThe University of Mary Hardin Baylor seeks qualified faculty for its Bachelor of Social Work program which is accredited by CSWE, beginning in late July of 2026. This is a nine (9) month full-time position with initial appointment at the rank of Instructor or Assistant Professor, commensurate with experience and academic preparation. UMHB seeks faculty who are active Christians and dedicated teacher-scholars to prepare students for leadership, service, and faith-informed discernment in a global society.This faculty position is responsible for advising and teaching undergraduate students throughout the curriculum and supervision of students during their Field Practicum.UMHB is conveniently located in Belton, an historic town of 22,000 in the heart of central Texas. Nearby cities are Temple (5 miles), Waco (45 miles), Austin (65 miles), San Antonio (130 miles) and Dallas/Ft. Worth (130 miles). Excellent schools, abundant cultural and recreational opportunities, and a high quality of life are hallmarks of the local community.Faculty Responsibilities: Activities required of all faculty include exemplary teaching, curriculum development, student recruitment and advising; professional attainment; and service to department, college, university, and the community.Specific Responsibilities: This position includes teaching undergraduate courses in Social Work; ongoing curricular and course revision and development; program assessment; advising and mentoring students; and participating in departmental and university committees. In addition, the Field Education Coordinator will be responsible for all aspects of the fieldwork component of the curriculum, supporting students before, during and after fieldwork experiences, and evaluation of students in the fieldwork setting.Qualifications: Must be an active and committed Christian who will support the University's mission and who will be an active participant in their local church. Degree: Masters in social work A doctoral degree in Social Work (or closely related field) and MSW to qualify for tenure track status. Licensure: A current MSW licensure. Professional Experience: Minimum of two (2) years experience post masters in a social work required. Teaching Experience: Professional experience as a fieldwork educator or documentation of training in the roles and responsibilities of a fieldwork educator is required. Excellent interpersonal communication skills, a dedication to professional attainment, and commitment to quality improvement are essential. Must agree to the University's Employee Statement of Understanding Salaries and Benefits: Competitive salary commensurate with experience, excellent benefits including medical and dental insurance, retirement plan with match and UMHB tuition benefits for employees and their dependents.Application Deadline: Position will remain open until filled.To Apply: Visit www.umhb.edu/careers for more details and to apply. Please submit a cover letter, CV, transcript copies and evidence of quality teaching performance with your online application. Your letter of interest should also respond to UMHB's mission and values, found at http://about.umhb.edu/our-mission. In addition, include in one page or less, a description of your own Christian beliefs and commitments.Review of applications will begin immediately and continue until position is filled. For information regarding employment at the University of Mary Hardin-Baylor, please visit our Careers Site.To apply, visit https://umhb.applicantstack.com/x/detail/a2zc18o6n7vxCopyright ©2025 Jobelephant.com Inc. All rights reserved.Posted by the FREE value-added recruitment advertising agency jeid-7214efa2f9b71a44b15ac7a0f3783447