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Title of Position: Postdoctoral Researcher Department and School: Departments of Internal Medicine and Genetics, Yale School of Medicine Anticipated Appointment Dates: Summer/Fall 2025 (flexible
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algorithms for the scanner using machine learning and deep learning. Qualifications: The position requires some background in machine learning, optimization, and deep learning. Some familiarity with MR physics
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in the design, implementation, and maintenance of data pipelines and leading/assisting in building algorithms for deep learning with close collaboration from the study team. While programming
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biochemistry, molecular biology, (genetics, or bacteriology) * have first-author publication(s) in peer-reviewed journals * be highly self-motivated. Ideal candidates will want to: * conduct original
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, genetic and neuroimaging data to identify new biological mechanisms and develop precision medicine tools for these conditions. We have a track record of training outstanding postdocs who go on to successful
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, cellular and biochemical mechanisms that regulate innate immune cells and other pertinent intestinal cell subsets, particularly in the context of genetic variants associated with IBD susceptibility
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informatics, genetics or molecular biology, and their intersection with health sciences and healthcare. Key Responsibilities The highly motivated and successful candidate can expect significant intellectual
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and cannabinoids, combining molecular neuroscience, genetics, electroencephalography, imaging, and psychopharmacology. We are deeply committed to training the next generation of scientists and
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with (and establish new) local and international collaborations. Qualifications: PhD or MD-PhD in molecular biology, genetics, biomedicine, bioinformatics, or a related field. Track record of research
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research projects, writing peer-reviewed articles, and formulating new research questions for future analysis. We are looking for individuals with a background in genetics/epigenetics, biomedical informatics