38 numerical-optimization "https:" Postdoctoral positions at THE UNIVERSITY OF HONG KONG
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of Physics (Ref.: 534748). Applicants should possess a Ph.D. degree in Condensed Matter Physics. Experience in numerical techniques and analytical field-theoretical approaches is desirable. Applicants who
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Computational and Theoretical Condensed Matter Physics in the Department of Physics (Ref.: 534748). Applicants should possess a Ph.D. degree in Condensed Matter Physics. Experience in numerical techniques and
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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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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
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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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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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(https://jobs.hku.hk ) and upload (1) Cover letter outlining research interests, relevant experience, and fit for the position (2) an up-to-date C.V. including full publication list (3) Contact information
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The University only accepts online application for the above post. Applicants should apply online at the University’s careers site (https://jobs.hku.hk ) and upload (1) Cover letter outlining research interests
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applications will start as soon as possible and continue until May 31, 2026, or until the post is filled, whichever is earlier. Where to apply Website https://www.timeshighereducation.com/unijobs/listing/409855