42 apply-"https:"-"https:"-"https:"-"https:"-"https:" research jobs at Yale University
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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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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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Duration: 1-year appointment with possibility of renewal for a 2nd year. About the Department Our research group works at the intersection of machine learning, medical imaging, biomedical engineering, and
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molecular data using advanced computational and statistical approaches to identify early biomarkers of neurodegeneration. Qualifications: PhD in Biomedical Engineering, Neuroscience, Neuroimaging, Physics
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complete the MPH program at Yale University and a clinical imaging position with roles corresponding to the needs of the section applied to. In addition, the candidate will play a leadership role on one
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neurodevelopmental disorders. The successful candidate will develop and apply experimental and computational approaches to understand gene regulation and disease mechanisms in neural development and to evaluate
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and kinetic modeling. A PhD in biomedical engineering, physics, or a related field is required. However, interested candidates with a strong computational background and interest in getting involved in
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drugs. Our focus is on cytokine-based drugs and immune checkpoint inhibitors. We use immune competent murine models and human cell culture systems for early drug development. We also study mechanisms
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and ideas to discover biology through a lens that has rarely been applied before. The Favuzzi Lab in the Department of Neuroscience at Yale School of Medicine is seeking a Postdoctoral Associate with
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, and therapeutic engineering. Projects may involve immunotherapy models, CRISPR-based perturbation and screening, mRNA therapeutics and vaccines, protein engineering, systems immunology, and tumor