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Department of Computing Postdoctoral Fellow (several posts) (Ref. 250709004) [Appointment period: each for six to twenty months] Duties The appointees will assist the project leader in
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computer science, maritime economic or a related field, preferably with a publication record in computer vision or maritime-related research; (b) proficiency in programming, including Python and Matlab, data
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Department of Health Technology and Informatics Research Assistant (Ref. 250704007) [Appointment period: six months] Duties The appointee will assist the project leader in the research project
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Applicants for the Research Associate posts should have a master’s degree in Computer Science, Electrical Engineering or a related discipline or a good honours degree in one of the afore-mentioned disciplines
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Department of Health Technology and Informatics Postdoctoral Fellow (Ref. 250703002) [Appointment period: twelve to twenty-four months] Duties The appointee will assist the project leader in
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Department of Management and Marketing Research Assistant (Ref. 250707007) [Appointment period: twelve months] Duties The appointee will assist the project leader in the research project - “The bot that judges you: Applicants’ strategic adaptations to artificial intelligence and human judgments...
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the project leader or his delegates. Qualifications Applicants should: (a) have a doctoral degree, preferably in Computer Science, Information Technology, Management Science, Marketing, Tourism/Hospitality
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Department of Electrical and Electronic Engineering Postdoctoral Fellow (Ref. 250704002) [Appointment period: twelve months] Duties The appointee will assist the project leader in the research
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availability. Applicants should possess a doctoral degree in Biomedical Sciences, Medical and Health Sciences Education, Computer Science or a related discipline, with a keen understanding of the practical
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Computer Science, Electrical Engineering, Electronic Engineering or an equivalent qualification; (b) demonstrated track record of publications in the field of reliability engineering and machine learning; and (c