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A postdoctoral fellow position is immediately available in the NIH-funded Neuro-Immuno-Oncology Research Group within the Department of Neurosurgery, Perelman School of Medicine at the University
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research in core/edge modeling, scenario optimization and experimental interpretation in the SPARC tokamak; lead the efforts of creating a platform to analyze experimental data in SPARC early campaign
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. Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants . This is a term position
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to others, train, and supervise research staff and students. Required Qualifications PhD, or MD/PhD in vascular biology and/or pulmonary hypertension. Candidates with previous experience in animal models
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 12 hours ago
. Description: This opportunity is closed to applicants who are Senior Fellows (5-years or more past PhD). The Goddard Earth Observing System (GEOS) global 4D hybrid Ensemble-Variational (EnVar) data assimilation
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 12 hours ago
. Description: This opportunity is closed to applicants who are Senior Fellows (5-years or more past PhD). The Goddard Earth Observing System (GEOS), developed by NASA’s Global Modeling and Assimilation Office
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models. Education Requirement: PhD in a biomedical science-related field. Required Qualifications: Demonstrated expertise in: Platelet functional assays and leukocyte biology Thrombosis and Hemostasis in
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novel techniques for the analysis of models and observations at these scales. While we are particularly interested in candidates with a PhD in physical oceanography, we also encourage candidates coming
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. Individual will develop and test novel computational models of the neural activity generated by electrical stimulation of the brain. Also, perform data analysis utilizing medical imaging data, computer models
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approaches, and performing coarse-graining to obtain effective models at various scales. Special Instructions Contact Information Jason Eldridge https://www.physics.harvard.edu/ Harvard Physics Department 17