51 parallel-processing "https:" research jobs at THE UNIVERSITY OF HONG KONG in Hong Kong
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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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analytical field-theoretical approaches is desirable. Applicants who are in the process of completing a Ph.D. degree will also be considered. The appointee will work with Prof. Zi Yang Meng to conduct research
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are in the process of completing a Ph.D. degree will also be considered. The appointee will work with Prof. Zi Yang Meng to conduct research on computational and theoretical condensed matter physics. Areas
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demonstrated experience in computer vision or analysis of pathology images. The appointees will participate in a multidisciplinary collaborative research project related to development of deep learning model
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Data Scientist. We now invite applications for the captioned post. Duties and Responsibilities Manage, process, and analyse complex real-world healthcare datasets to generate insights and evidence
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Manage, process, and analyse complex real-world healthcare datasets to generate insights and evidence. Develop and implement data pipelines for the ingestion, curation, and transformation of RWD
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to better understand, diagnose and treat diseases with particular interests in cancer and neurodegenerative diseases. We are a highly collaborative and multidisciplinary lab eager to create an impact on
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through the University’s careers website (https://jobs.hku.hk ) and upload an up-to-date CV, cover letter (not exceeding 300 words), research proposal (not exceeding 1500 words), and writing sample
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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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multidisciplinary team specializing in medical imaging and algorithm development. Our work focuses on advancing the use of computer vision, deep learning, and machine learning for analyzing medical imaging modalities