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The Reilly Laboratory in the Department of Genetics at Yale School of Medicine is seeking highly motivated postgraduate trainees with interests in molecular biology, human genetics, evolutionary
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, comparative genomics, machine learning, and evolutionary analysis to address fundamental questions in molecular biology and human disease. Responsibilities Develop computational pipelines for the discovery
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-driven research group working at the intersection of computational genomics, clinical artificial intelligence, and imaging genetics. This position offers an exciting opportunity to develop novel algorithms
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genetics, or evolutionary biology). The lab is multi-disciplinary, and applicants from a variety of backgrounds — including those interested in human evolution, building new genomic tools, or analyzing
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publication) Exposure to modern AI-enabled approaches relevant to biology, including evolutionary/sequence-informed modeling and design workflows (scope tailored to background and project needs Mentoring
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was created to advance research in the mathematical, algorithmic, and statistical foundations of data science and their application to other disciplines. In addition to providing support to core foundational
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modeling of novel radiopharmaceuticals, development of advanced image reconstruction algorithms for quantitative PET and PET/MR imaging and the development of deep learning methods to improve quantitative
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Description We are looking for strong, ambitious candidates with previous research backgrounds in molecular biology, human genetics, evolutionary biology, genomic technologies, bioinformatics, or machine
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skills, including generalized linear models, multiple machine‑learning algorithms, MOFA and multi‑omics pathway analysis. · Strong background in experimental design, quantitative data analysis, and
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Astronomy. The institute was created to advance research in the mathematical, algorithmic, and statistical foundations of data science and their application to other disciplines. In addition to providing