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) a doctoral degree in a relevant data science, computer science, business, information systems, artificial intelligence, or other relevant areas; (ii) at least 3 years’ experience in teaching relevant
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Chair Professor/Professor/Associate Professor/Assistant Professor (Public Administration and Policy)
interdisciplinary areas. Research fields of particular interest include, but not limited to: biomedical science and engineering veterinary science computer science and data science neuroscience and neural
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interdisciplinary areas. Research fields of particular interest include, but not limited to: biomedical science and engineering veterinary science computer science and data science neuroscience and neural
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, Research Methods, Sports Technology and engage in professional development activities, student advising and leading co-curricular activities. The appointee will also assume the role of Programme Director for
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. In addition to pursuing a vibrant research program the candidate is expected to engage in effective teaching at the undergraduate and graduate levels. Starting salary will be highly competitive and
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program the candidate is expected to engage in effective teaching at the undergraduate and graduate levels. Starting salary will be highly competitive and commensurate with qualifications and experience
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an exceptional record of research excellence and academic leadership. In addition to pursuing a vibrant research program, appointees are expected to engage in effective teaching at the undergraduate and graduate
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interdisciplinary areas. Research fields of particular interest include, but not limited to: biomedical science and engineering veterinary science computer science and data science neuroscience and neural
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Ref.: 532410 Work type: Full-time Department: School of Biomedical Sciences (22600) Categories: Professoriate Staff Applications are invited for appointments as Tenure-Track Professor / Associate Professor / Assistant Professor (several posts) in the School of Biomedical Sciences (Ref.: 532410),...
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and FinTech. Members of the Department have expertise in applied optimization and optimal control, engineering computation, operational research, management science and applied statistics, FinTech