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Position Summary A postdoctoral position is available in the Durbin Lab at Wells Center for Pediatrics Research to investigate how gene–environment interactions disrupt cardiac development. Congenital heart
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publications, grant writing, and career development. We especially welcome applicants with backgrounds in psychiatry, neuroscience, or neurobiology who are eager to develop expertise in statistical genetics and
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, reproducible pipelines, and standards-based approaches (e.g., OMOP, FHIR, UMLS) Lead or support manuscript preparation and dissemination at top informatics and AI venues Contribute to grant development and
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experimental systems – from ecosystems to microbiology and developmental biology, from evolution to cell biology, from molecular biology to systems biology, bioinformatics, and genomics. It is always an exciting
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experimental systems – from ecosystems to microbiology and developmental biology, from evolution to cell biology, from molecular biology to systems biology, bioinformatics, and genomics. It is always an exciting
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training and career development. Department Contact for Questions Please contact Tara Wilson at [email protected] for any questions related to this posting. Additional Qualifications Special Instructions
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generative protein design, directed evolution, next gen sequencing, and laboratory automation to develop B12-dependent enzymes or artificial metalloenzymes containing different organometallic cofactors for new
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outcomes in disease. The overarching goal is to understand the mechanisms underlying microglia actions in AD that can guide the development of novel therapeutics as well as the identification of new
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Development The HESG Lab is committed to providing a supportive and intellectually stimulating training environment. Postdoctoral fellows will receive close mentorship in developing independent research
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fellow to join the 3D Stem Cell Biology Research Lab (https://www.hashinolab.com ) and study normal and pathological development of the human inner ear using stem cell-derived organoids as a model system