18 machine-learning-"https:"-"https:"-"https:"-"UCL" uni jobs at THE UNIVERSITY OF HONG KONG
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Experiential Learning team. The appointee will play a key role in designing and delivering innovative, engaging, and high-impact experiential learning opportunities for undergraduate students, with a particular
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Ref.: 534447 Work type: Full-time Department: Teaching and Learning Innovation Centre (47500) Categories: Teaching Staff Lecturer in the Teaching and Learning Innovation Centre (TALIC) (Ref.: 534447
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to staff position within a Research Infrastructure? No Offer Description Ref.: 534447 Work type: Full-time Department: Teaching and Learning Innovation Centre (47500) Categories: Teaching Staff
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intelligence and machine learning in mental health, big data analytics, and pharmacoepidemiology. Applicants who adopt multidisciplinary approaches to address key challenges in psychiatry and mental health
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teaching and supervising postgraduate students. The appointee will be expected to teach biostatistics at undergraduate and postgraduate levels, conduct independent research in infectious disease modelling
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supervising junior research staff. He/she will also be expected to teach, supervise postgraduate students, and perform administrative duties. A highly competitive salary commensurate with qualifications and
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climate challenges and drive sustainable solutions. We are committed to fostering an environment of learning, innovation, and impact. Applicants should possess an undergraduate degree in business, social
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for the Department, and will contribute to teach undergraduate and postgraduate programs, supervise student projects and theses, and take up administrative duties as required. A highly competitive salary commensurate
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competitive research grants for the Department, and will contribute to teach undergraduate and postgraduate programs, supervise student projects and theses, and take up administrative duties as required. A
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evidenced by positive student feedback; (b) teach across a range of courses; (c) produce, evaluate and revise teaching and learning materials; (d) work on meeting self-identified professional development