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PhD graduates who are passionate about leveraging computational methods to transform trauma and acute care surgery. Fellows will work at the intersection of clinical medicine, data engineering, and
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and in a group setting Ability to coordinate multiple projects; proficiency with computer software including Microsoft Word and Adobe Acrobat Familiarity with databases and data entry Proficiency with R
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space-based systems, including large satellite constellations. A recent PhD in physics, engineering, computer science, or other relevant fields and strong interest in technical and policy research
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of an additional second year contingent upon funding and performance. Individuals with a PhD in political science, computational social science, or a cognate discipline are encouraged to apply. Preference will be
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Classification Title: Postdoctoral Associate Classification Minimum Requirements: PhD in Astronomy, Physics, or a related field. Job Description: A Postdoctoral Associate position is available in
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Pension Eligibility ABP Qualifications Minimum Education and Experience PhD, MD, or equivalent doctoral degree in Neuroscience, Biomedical Engineering, Computer Science, or a related field. Candidates in
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health To be eligible, candidates must: Have received a PhD in computer science, information science, bioinformatics, biostatistics, mathematics, nutrition, epidemiology, biomedical engineering, medicine
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management, workflow management, High Performance Computing (HPC), machine learning and Artificial Intelligence to enhance our capabilities in making AI-ready scientific data. As a postdoctoral fellow at ORNL
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intelligence methods (ML/AI) for diverse biological data in relation to cardiovascular and neurodegenerative diseases. The specific areas of methodological research can be flexible, depending on the candidate’s
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: A recent PhD (or MD) degree in a relevant discipline, such as decision science, health services research, epidemiology, applied mathematics, or industrial engineering. Expected graduation in Spring