171 algorithm-development "https:" "Simons Foundation" positions at THE UNIVERSITY OF HONG KONG
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highly complex workflows. We aim to develop optimization models and algorithms to improve wafer processing sequences across semiconductor manufacturing tools, with the objectives of reducing cycle times
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development and mentorship, with protected time for educational and clinical research activities, depending on the appointees’ interests and accomplishments. Information about the School of Clinical Medicine
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Faculty of Arts (Ref.: 534972), affiliated with the AI & Humanity Lab at the University of Hong Kong (https://ai-humanity.net ), to commence as soon as possible. The initial appointment will be for two
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Research Hub of Population Studies (https://www.socsc.hku.hk/rhps/ ) within the Faculty of Social Sciences. Duties and Responsibilities The appointees will be primarily responsible for the following: Involve
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experiences may be considered for appointment as Clinical Assistant Professor. There will be opportunities for academic growth, career development and mentorship, with protected time for educational and
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an advantage. Applicants should have a strong interest in translational research, the ability to work independently as well as in a team, and the ability to contribute intellectually to research development
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research design and execution, including the development of analytical frameworks grounded in health economics across five priority areas: (i) HA Drug Formulary; (ii) assessment and adoption of medical
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organoid development, under the supervision of Professor Jade L. L. Teng. For inquiries, please contact Professor Teng at llteng@hku.hk . Further information about the Faculty can be found at https
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the possibility of renewal) Applicants should have a Ph.D. degree in Philosophy, or a related field. Preference will be given to those with experience in teaching and programme development on philosophy
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cell approaches with experimental epigenetics and stem cell platforms. Potential projects include: Developing AI/multimodal models (e.g., integrating single-cell omics, spatial transcriptomics