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Yale Analog and RF Circuits and Systems (ARCS) Research Group, Department of Electrical and Computer Engineering, Yale University The Analog and RF Circuits and Systems Research Group in
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Quantum Information Science and Engineering Theory Postdoctoral Associate Yale University: School of Engineering and Applied Science: Applied Physics: Yale Quantum Institute Location New Haven, CT
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. Position Overview The successful candidate will develop and apply advanced computational and machine learning methods to large-scale genomic, clinical, and imaging datasets, working across one or more of the
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neuropsychiatric disorders and substance use through human laboratory studies, neuroimaging, and clinical trials. The Center brings together investigators with deep expertise in psychopharmacology, neuroscience
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GENERAL SUMMARY/ OVERVIEW STATEMENT The Falcone Lab (www.FalconeLab.org ) integrates genomic, multiomics and neuroimaging data to study the pathophysiology of acute brain injury (ischemic stroke
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. Education and scholarly development The postdoctoral associate will receive structured education in computer vision applications in medical imaging, machine learning, research methodology, responsible conduct
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-scale human datasets. You will: - Build and apply machine learning and deep learning models to multi-scale (cells, brains, patients), multi-modal (omics, biosensor data, vision, electronic health data
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approaches such as non-coding CRISPR screens, the Massively Parallel Reporter Assay (MPRA), saturation mutagenesis, and synthetic sequence design, alongside machine-learning models of regulatory grammar
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scholarly journal articles and then leveraging professional networks to obtain a copy, or by going to web-scale search engines or AI to find what has made it to the open web. At Yale, we envision a different
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biosafety level 2 (BSL2+) lab), immunology (such as flow cytometry and CAR-T engineering), molecular biology (such as CRISPR, RNA biology), or animal models, (e) collaboration with other researchers both