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applicant will take a lead role in data science and epidemiology for this newly funded multi-disciplinary project grant for early detection of cancer called the Cancer Loyalty Card Study-2 (CLOCS-2
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of spatiotemporal data is a fundamental problem in multiple domains such as neuroscience, epidemiology, climate science and pollution monitoring. Developing representation learning methods for spatiotemporal data
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also be considered) in the area of mathematical modelling of zoonotic spillovers and the epidemiological dynamics of communicable diseases. The position is full-time available immediately and for a fixed
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Ph.D. in Epidemiology, Computational Biology, Bioinformatics, Statistics, Computer Science, or a closely related field. Solid experience in statistical analysis and programming (e.g., R, Python, MATLAB