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Applications are invited for a position in the rapidly expanding data analytics run by Prof Adam Dubis. The main focus of the team is to develop deep learning tools for prediction of disease progression
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exposome and dynamic exposome modeling, learning in timeseries and spatial data, and hybrid deep learning-causal modeling. The successful applicant should have significant research experience in at least two
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that highlights relevant expertise About the Division of Biostatistics We are a tight knit entrepreneurial group of six faculty. We address important biomedical problems through deep collaborations with researchers
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