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change and epidemiology, machine learning and global health. This work will allow you to collaborate with a broad range of people at the School of Public Health as well as public health professionals and
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specialisation related to statistics, mathematics, computer science, quantitative social science, public health, epidemiology or related field (2) be proficient in Stata or R and (3) Have proven ability to conduct
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advanced degree in a relevant field (e.g., nutrition, public health, epidemiology, clinical research). Experience in clinical trials, experience on decentralized trials is preferred but not essential. Strong
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for Public Health’. Qualifications A Master’s. in a relevant field such as computer science, statistics, epidemiology, computational biology, bioinformatics, biostatistics, machine learning, or a related
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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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Education/Health Services or Applied Research Epidemiology Requirements The candidate should also possess: Experience in undertaking or leading independent research studies, including evidence synthesis
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research opportunities and grant applications. Qualifications A PhD or equivalent advanced degree in a relevant field (e.g., nutrition, public health, epidemiology, clinical research). Experience in clinical