242 data-"https:"-"https:"-"https:"-"https:"-"https:"-"Simons-Foundation" Fellowship positions in Singapore
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Fellow in Health Services and Data Science (Project: Development of Natural Language Processing and Item response Theory based systems for Patient Reported Outcomes Measurement) Optimizing the performance
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/ Human Movement Science or Learning Sciences / Education Research. Proven experience in designing and conducting experimental studies involving human participants. Strong track record in quantitative data
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an emphasis on technology, data science and the humanities. ADVANCE-ID is an international, non-profit, academic-led clinical trial network focused on infectious diseases. The Network is jointly funded by
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problem statement and/or a research scope is defined by the PI and the staff. Execute the plan experimentally and interpret the data critically. Report to the PI proactively and take the initiative
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problem statement and/or a research scope is defined by the PI and the staff. Execute the plan experimentally and interpret the data critically. Report to the PI proactively and take the initiative
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disciplines. More Information Location: Kent Ridge Campus Organization: College of Design and Engineering Department : Materials Science and Engineering Employee Referral Eligible: No Job requisition ID : 30162
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. • Maintain expertise in state-of-the-art data manipulation and statistical analysis. • Strategic and scientific contributions at the indication/protocol/integrated analysis level. • Oversee large scale
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an emphasis on technology, data science and the humanities. The Research Institute for Cancer Prevention, Screening and Early Detection has recently been established as a joint initiative between the Lee Kong
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Responsibilities: To independently undertake research on data-efficient object detection with key techniques in few-shot learning, transfer learning, image synthesis, etc. To produce research reports and/or
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. • Proficiency in programming (e.g., Python, C/C++, MATLAB) for model development and data analysis. • Demonstrated ability to work independently and as part of a multidisciplinary team