Jerash Private University

Advanced Biomedical Instrumentation Centre Limited (ABIC) is a collaborative effort coordinated by the University of Hong Kong (HKU) undertaking R&D projects at the Hong Kong Science Park. The aim of ABIC is to develop new and disruptive technologies that will meet the needs of the healthcare sector and contribute to human health. Applications are invited for appointments as Project Specialist (Ref.: H01/2025/121) for innovative technology and product development projects specifically in the field of Organoids and Microphysiological Systems (MPS). More experienced candidates can be hired for the Product Development Scientist position. Job Description Designing, developing, and optimizing novel organoid culture protocols, with a strong focus on patient-derived organoids and cancer organoids. Establishing robust 3D cell culture models, including optimization of culture media, extracellular matrix components, and growth factors. Integrating organoid models into Microphysiological Systems (MPS) to create physiologically relevant in vitro platforms. Developing and optimizing assays for drug screening, toxicity testing, and mechanistic studies using organoid and MPS. Conducting experiments to evaluate the efficacy and safety of novel therapeutic agents. Staying abreast of the latest scientific literature and technological advancements in the fields of organoids, MPS, and cancer biology. Translating research outcomes into marketable applications and business opportunities Writing proposals, reports, articles, patents, technical specifications, and other publications  Delivering high-quality presentations to collaborators and partners Handling other relevant tasks as assigned by the supervisor(s) Requirements Master or above in Cell Biology, Biotechnology, Bioengineering, or related life sciences disciplines Mature, self-motivated, and able to work under pressure  Highly proficient and fluent in English in both writing and verbal communications 1+ years of relevant industry (corporate, non-academic) R&D experience in the biotech sector is a MUST, with the following capabilities: Demonstrated expertise in 3D cell culture techniques, with a strong emphasis on organoid culture. Hands-on experience with patient-derived organoid (PDO) culture and characterization  Experience with microphysiological systems (MPS) design, fabrication, and operation is highly desirable Understanding of cancer medicine, including mechanisms of tumorigenesis, oncological drug delivery, and drug resistance Experienced in a wide range of cell biology and drug screening techniques, such as immunofluorescence, microscopy, PCR, flow cytometry, toxicology assays, etc. Experience with Contract Research Organization (CRO) or Laboratory Developed Test (LDT) services is a definite advantage A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits. Applicants should submit their up-to-date C.V., quoting the job reference number, with information on current/expected remuneration and availability, to hr@abic.hk. Review of applications will commence as soon as possible and until the posts are filled. Applications are by HR email only. The personal data provided in your application process will be used for recruitment and other employment-related purpose. The personal data may be transferred and disclosed to, and used by HKU Innovation Holdings Limited and The University of Hong Kong for the above purposes. We are an equal opportunities employer and welcome applications from all qualified candidates.

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 SHORES Center at New York University Abu Dhabi (NYUAD) invites applications for a Postdoctoral Associate position in the area of Digital Twins and Artificial Intelligence (AI) for Smart Infrastructure Management Systems to work under the supervision of Professor Borja García de Soto, director of the S.M.A.R.T. Construction Research Group and Co-PI in the SHORES Center. The successful candidate will also collaborate with researchers and other Investigators from the SHORES Center on project related to the advancement of multidisciplinary research supporting the digitalization of the built environment. The selected researcher will expand the current research in the area of AI- and ML-powered digital twin frameworks for civil, energy, and built-environment infrastructure. These frameworks integrate IoT-enabled sensing and real-time analytics to support continuous monitoring, data-driven evaluation, and predictive maintenance. The work also address user comfort and indoor environmental quality (IEQ) as key dimensions of infrastructure performance. This research forms part of a broader effort to design smart, adaptive, and resilient Infrastructure Management Systems that leverage digitalization, automation, and intelligent decision-making. Key Responsibilities include conduct cutting-edge research on the integration of Digital Twins with AI/ML technologies for infrastructure lifecycle management. Develop and validate computational models for monitoring and predicting infrastructure performance. Collaborate with faculty and researchers across SHORES. Disseminate research findings through high-impact publications and conference presentations. Mentor graduate and undergraduate students involved in related projects. Candidates must hold a Ph.D. in Civil Engineering, Computer Science, or a related discipline with a focus on Digital Twins, AI, ML, or smart infrastructure systems. Strong background in computational modeling, data analytics, and/or automation in construction or infrastructure management. Demonstrated research excellence through peer-reviewed publications. Experience with programming languages and software platforms relevant to Digital Twin development (e.g., Python, MATLAB, Revit, Unity, or IoT frameworks). Excellent written and verbal communication skills in English. The terms of employment are 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, applicants must submit the following documents in PDF format: a cover letter, curriculum vitae with a complete list of publications, academic transcript, research statement, sample journal publications, and at least three letters of recommendation. For any questions, please contact garcia.de.soto@nyu.edu. 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.