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methods to compare the genetic architecture of rare vs. common genetic variation 2. Developing methods to analyze GWAS data using graphical models and genome-wide genealogies 3. Developing methods to
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( https://www.hsph.harvard.edu/lin-lab/ ), Professor of Biostatistics and Professor of Statistics. The postdoctoral fellow will develop and apply statistical, machine learning (ML), and AI methods
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( https://www.hsph.harvard.edu/lin-lab/ ), Professor of Biostatistics and Professor of Statistics. The postdoctoral fellow will develop and apply statistical, machine learning (ML), and AI methods
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genetic variation, including the biology and evolution of mutation, the effect of variation on molecular function and structure, population genetics as a lens on evolution, and the maintenance and
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directionality and causal inference. This project instead builds on the structure of the central dogma, using genetic variation as an anchor for causal inference across molecular layers (genomics
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research and educational activities including resident and student teaching. Applications are being accepted online at https://unmc.peopleadmin.com/postings/94492 . Required Qualifications MD BC/BE
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. Applicants are encouraged to highlight experience with mouse models, immune cell biology, molecular or genetic approaches, and genomic analysis. Announcement Details Open Date 10/21/2026 Requisition Number
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about being a doctoral student at the University of Gothenburg can be found on the university's doctoral student pages. https://www.gu.se/en/doctoral-studies Duties The PhD education in Medical
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Haigis laboratory is interested in identifying fundamental new metabolic pathways using metabolomic, biochemical, and genetic approaches. These are then applied to deepen understanding of normal
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focused on the genetic engineering of cultured red blood cells (RBCs), for applications in transfusion medicine, infectious diseases, and therapeutic development. The specific project aims to engineer