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The Section of Biostatistics is looking for a postdoc to develop statistical methods for inference on causal effects in studies affected by non-random participation, particularly self-selection in
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must hold a PhD degree in epidemiology, pharmacoepidemiology, biostatistics, or a related discipline, or have obtained one by the expected start date. The applicant must be fluent in English (written and
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, computer science, bioinformatics, computational biology or biostatistics Proven expertise in machine learning applied to molecular or other high-dimensional data Experience working with IBD or other immune-mediated
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science (AI/ML) or similar with a focus on animal health, microbiology and disease control and/or production traits. Proven experience in biostatistical and bioinformatic analysis of multiomics datasets
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, data science (AI/ML) or similar with a focus on animal health, microbiology and disease control and/or production traits. Proven experience in biostatistical and bioinformatic analysis of multiomics