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the use of machine learning and AI approaches • Integration of proteomics with genetic data via MR, coloc and FUSION to identify causal and druggable targets Requirements • The successful applicant will
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service, or genetic information in its administration of educational policies, programs, or activities; admissions policies; scholarship and loan programs; athletic or other University-administered programs
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disease and stroke using novel and integrative computational and statistical analyses. The candidate will hold a PhD in statistics, Bioinformatics, Computational Biology, Biostatistics, Statistical Genetics
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years into terminal degree), including PhDs, MDs and dual degrees (e.g., MD/PhD, MD/MBA) and post-doctoral researchers Effective verbal/written communicator; self-motivated, team player Eligibility