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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
candidates are being sought to join a basic and translational research program focused on the immunology of T cell-mediated autoimmune disease; specifically type 1 diabetes (T1D). Our group is part of
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discipline such as biology (all subfields), environmental science, computer science, or mechanical engineering, and must be comfortable handling insects and conducting field work at night. Additional
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integrate in vivo mouse models and proteomics via mass spectrometry to uncover mechanisms of immune reprogramming and therapeutic response. Minimum Qualifications: PhD in Biomedical Sciences, Bioengineering
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crucial determinant of vascular degeneration associated with early DR. Their ongoing studies aim to identify the factors that alter vascular stiffness in the eye and uncover the mechanobiological mechanisms
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the Department of Medical Education and the Department of Informatics and Health Data Science at the University of Miami Miller School of Medicine offers a unique opportunity to advance the integration
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or soon-to-be completed (typically within the last 0-5 years) in Materials Science, Chemical/Mechanical Engineering, Chemistry, Condensed Matter Physics, or a closely related field. Demonstrated experience
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Department at Rutgers University, New Jersey. We study reproduction, specifically molecular mechanisms of the meiotic cell cycle. Our work involves genetic mouse models, combined with molecular, cellular, and
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interest in pulmonary vascular pathophysiology and right heart dysfunction, with particular emphasis on: a) pathogenic and therapeutic mechanisms of pulmonary vascular diseases including pulmonary
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fault mechanics, as well as earthquake hazards; (b) Volcanology: geochemistry, physical volcanology, igneous petrology, and volcanic systems modeling; (c) Climate science: glaciology, paleoclimate and
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motivated researcher with a strong background in computational modeling, system identification, and uncertainty quantification for civil infrastructure. The successful candidate will join the Risk Assessment