38 optimization-mathematical "https:" Postdoctoral positions at THE UNIVERSITY OF HONG KONG
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7 Apr 2026 Job Information Organisation/Company THE UNIVERSITY OF HONG KONG Research Field Biological sciences Computer science Mathematics Researcher Profile Recognised Researcher (R2) Established
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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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2 Apr 2026 Job Information Organisation/Company THE UNIVERSITY OF HONG KONG Research Field Computer science Medical sciences Mathematics Researcher Profile Recognised Researcher (R2) First Stage
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2 Apr 2026 Job Information Organisation/Company THE UNIVERSITY OF HONG KONG Research Field Computer science Medical sciences Mathematics Researcher Profile Recognised Researcher (R2) Established
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2 Apr 2026 Job Information Organisation/Company THE UNIVERSITY OF HONG KONG Research Field Computer science Mathematics Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1
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, Nanomedicine & Advanced Therapeutics at the Department of Pharmacology and Pharmacy (several posts) (Ref.: 534149) We now invite applicants to join the Science, technology, engineering, and mathematics Lab
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troubleshooting. The appointees will collaborate with software teams, ecology specialists, and biomedical experts to optimize device performance, as well as support manufacturing and scalability initiatives
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of renewal subject to satisfactory performance. Applicants should possess a Ph.D. degree in Computer Science, Mathematics, Statistics, computational biology, related disciplines or equivalent. They should be
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to optimize device performance, as well as support manufacturing and scalability initiatives. Enquiries about the duties of the posts should be sent to Mr. Eric Yip at yiperic@hku.hk . Information about the
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possess extensive experience in developing deep learning algorithms Excellent programming skills (e.g., proficiency in Python, PyTorch, OpenCV) and experience in deep learning model optimization and