14 epidemiology Fellowship research jobs at National University of Singapore in Singapore
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PhD in a relevant field such as health economics and outcomes research, statistics, and epidemiology; • Expertise in instrument development for clinical or healthcare decision making; • Proficiency in
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Sciences applied to child health/development Programme Evaluation Education/Health Services or Applied Research Epidemiology Qualifications The candidate should also possess: Experience in undertaking
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climate, environment and health. This position offers the opportunity to work on ground-breaking research projects in the broad areas of climate change and epidemiology, machine learning and global health
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Council that focuses on the study of dementia and cognitive impairment in the elderly. The MACC currently has 4 research themes on biomarker discovery, neuroimaging, clinical assessment and epidemiology
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Behavioural or Social Sciences applied to child health/development Programme Evaluation Education/Health Services or Applied Research Epidemiology Requirements The candidate should also possess: Experience in
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-disciplinary areas, such as nutrition, reproductive health, maternal and child health, endocrinology, behaviour intervention, biostatistics and epidemiology. Successful candidates are expected to 1) conduct
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-disciplinary areas, such as nutrition, reproductive health, maternal and child health, endocrinology, behaviour intervention, biostatistics and epidemiology. Successful candidates are expected to 1) conduct
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Qualifications: • A PhD in a relevant field such as computer science, statistics, epidemiology, computational biology, bioinformatics, biostatistics, machine learning, or a related discipline. • Solid background
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completion of the project(s) Qualifications • Doctorate degree in Exercise Science, Physiology, Data Science, Epidemiology, or equivalent (Candidates with strong data science and analytics background and
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applications Qualifications (A) EDUCATION, TRAINING, AND EXPERIENCE PhD in psychology, neuroscience, biostatistics or epidemiology, or other relevant subjects. Experience in EEG signal analysis, strong