17 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" PhD research jobs in Hong Kong
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-quality research as indicated by publications and external grants; and (iv) a strong commitment to engage students in inquiry-based learning at postgraduate level. Relevant work experience in infectious
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Professor (25260446) Responsibilities: The Department is recruiting one scholar at the rank of Research Assistant Professor in applied probability, data science, machine learning, and spatial statistics
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willing to work in a collaborative environment. Preference will be given to those with (i) strong background in quantitative methods, geospatial methods, AI and machine learning; (ii) experience in high
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(25260475) Responsibilities: The Department is recruiting a scholar at the rank of Research Assistant Professor in computational mathematics, machine learning, scientific computing, statistics, and related
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the rank of Research Assistant Professor in computational mathematics, machine learning, scientific computing, statistics, and related areas. The appointee is expected to conduct high-impact research
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, collaboratively, and under pressure For more information about our research directions, please visit our lab website: https://www.sklpb.hku.hk What We Offer The appointment will commence as soon as possible on a 1
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professional training to align with the emerging needs of our society and students’ diverse learning interests. Please visit the website at http://www.polyu.edu.hk/apss/ for more information about the
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directions, please visit our lab website: https://www.sklpb.hku.hk What We Offer The appointment will commence as soon as possible on a 1-year temporary basis or 2- to 3-year fixed-term basis, with
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and administrative staff and over 100 research personnel. The Department is committed to excellence in teaching, research and service to the community. Please visit the website at https
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at the rank of Research Assistant Professor in applied probability, data science, machine learning, and spatial statistics. Candidates with a strong background in the development of novel models and original