52 optimization-postdoc "https:" "IMT Atlantique" Postdoctoral research jobs in Hong Kong
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UnitedKingdomTime) Position Description: Apply Position Description We invite talented and motivated applicants for PhD and Postdoc positions in the group of Haowei Xu (https://www.haoweixu.com/ ) at the Department
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experiments, hit-to-lead optimization, or LC-MS/MS will be an advantage. The appointee is expected to work independently as well as with other team members in the Department, manage on-going research projects
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pillars such as Big Data Analytics and Management, Machine Learning and Optimization, AI for Data Science, Deep Learning, Generative Learning, Biometrics Processing, Natural Language Processing, Computer
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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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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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invited for interview 8 weeks after submission of application may consider their applications unsuccessful. Details of the University's Personal Information Collection Statement can be found at https
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conferences (e.g., HTAsiaLink). Enquiries about the duties of the post should be sent to Professor Manuel Espinoza at mesp@hku.hk . Information about the School can be obtained at https://sph.hku.hk
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their applications unsuccessful. Details of the University's Personal Information Collection Statement can be found at https://hro.hkbu.edu.hk/en/worklife-at-hkbu/employee-favourable-environment.html#privacy-policy
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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