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interdisciplinary projects explore how patterns in baby teeth reflect past environmental exposures and predict future mental health outcomes. The research integrates biological measures with developmental and
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(e.g., proof assistants, simulation frameworks, structured data environments). Familiarity with Lean or other formal mathematics platforms. Experience with temporal network analysis or hypergraph
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the following areas: Performing and/or analyzing functional genomics experiments Competence with Unix environment, R, Python, high performing cluster Familiarity with machine learning Have taken coursework in
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engage fully in the lab’s dynamic environment. Required: Ph.D. in a relevant field such as Biology, Biochemistry, Epidemiology, Genetics, Genomics, or Psychology Strong publication record, including first