32 assistant-professor-computer-science-data-"St"-"St" Fellowship positions at Singapore Institute of Technology
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Responsibilities Have relevant experience in fermentation, bioreactor optimization, and downstream processing. Have a Ph.D. degree in Food Science and Technology or Chemical Engineering, or other relevant
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As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets
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-on expertise in NGS workflows Have a degree in Biomedical Sciences, Biotechnology, Molecular Biology, Life Sciences, Biochemistry, or a related Bioscience field. Familiarity with NGS data analysis
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, Information Systems, or a related field with a strong research focus in machine learning, biometrics, or mobile computing. Proven experience in federated learning, privacy-preserving machine learning
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Assessor or Singapore Certified Energy Manager will be advantageous. Have a Degree in Engineering or equivalent. Possessing a Master’s or PhD degree will be advantageous. Have experience in conducting
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As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets
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be considered for Assistant Professorship. Eligibility and Selection Criteria Singapore citizen Doctoral candidates who have recently completed or are about to complete their studies in a discipline
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for undergraduate students. Interview and supervise student assistants in the project. Job Requirements: (Research Fellow) PhD in Computer Science or a related field (Research Engineer) Bachelor/Master degree in
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As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets
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model tests in wave flumes or basins to validate computational models. • Analyze experimental data to improve and validate the floating breakwater design. 6. Research Documentation and Dissemination