79 Computer-Science Postdoctoral positions at Yale University in Ireland-University-Ranking-2024
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program. Our work focuses on the development of advanced cancer models, integrative genomic analyses, and the discovery of novel therapeutic strategies. Using systematic, interdisciplinary approaches
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The Department of Ophthalmology & Visual Science at Yale School of Medicine seeks a retinal research associate to join our retinal imaging research program. This position is designed to provide
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sodium-responsive regulatory pathways Development of cellular models relevant to neuronal biology and neuropsychiatric disorders Collaboration with computational biologists and RNA biochemists within
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Required: PhD in Bioinformatics, Computational Biology, Computer Science, or equivalent related field Strong programming skills (R and Python required; PyTorch/JAX/TensorFlow preferred) Demonstrated track
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Preferred Qualifications Experience with mouse models, CRISPR screening, organelle biology, transporter biology, quantitative proteomics or metabolomics, or computational analysis of large-scale datasets
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is supported by NIH funding and sits within a rich collaborative network at Yale, including the Yale Cancer Center, the Yale Stem Cell Center, the Wu Tsai Institute, and computational collaborators in
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and cellular mechanisms underlying these disorders using cell-based assays, blood vessel organoids, and zebrafish and mouse models, working alongside neurosurgeons, computational scientists, and
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utilization as a druggable pathway in fungal pathogens and the development of antifungal potentiators. Projects will involve a combination of fungal genetics, molecular biology, chemical biology, metabolism
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Posting Title: Postdoctoral Research Associate Department and School: Yale Center for the Science of Cannabis and Cannabinoids, Yale School of Medicine Department of Psychiatry Anticipated
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The laboratory investigates organelle biogenesis and maintenance, with a focus on the cell biology membrane lipids. Our goal is to elucidate an integrated understanding (lipids and proteins