222 computer-science-intern "https:" "https:" "https:" "https:" "UNIVERSITY OF HELSINKI" positions at THE UNIVERSITY OF HONG KONG
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-doctoral training in Medical Imaging Artificial Intelligence, Computer Science, or Biomedical Engineering. They should demonstrate (i) evidence of international recognition and scholarship; (ii) the ability
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of renewal subject to satisfactory performance. Applicants should possess a Ph.D. degree in Computer Science, Mathematics, Statistics, computational biology, related disciplines or equivalent. They should be
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large-scale, mental health and well-being project for primary schools in Hong Kong, under Department of Psychology, Faculty of Social Sciences. He/She will be responsible for the smooth operation of
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Mathematics or related fields, such as Statistics and Computer Science. The appointee will assist in delivering courses and tutorials at undergraduate and/or postgraduate level(s), and provide general teaching
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Bachelor’s degree or above (for Research Assistant I) in psychology, data science, computer science, or a related discipline. The appointee should demonstrate strong quantitative and computational skills, with
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are particularly encouraged to apply. Applicants should possess: (i) a Ph.D. degree in psychiatry, psychology, public health, population health, data science, epidemiology, or a related discipline; (ii) a proven
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Bachelor’s degree or above in Psychology, Social Sciences, Public Health, Nursing, Medicine, Computer Science, Information Technology, Health Informatics, Education or other related disciplines; with at least
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the possibility of renewal subject to satisfactory performance. Applicants should have a Ph.D. in bioinformatics, genetics, computational biology or other relevant disciplines. Experience in cancer research and/or
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to drafting and filing patents, writing and publishing academic papers, and composing research grant proposals. Requirements Applicants with a Master’s degree in Computer Vision, Deep Learning, Computer Science
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Ref.: 534762 Work type: Fractional / Part-time, Full-time Department: Faculty of Business and Economics (07030) Categories: Professoriate Staff Applications are invited for appointments as Full-time