63 assistant-professor-computer-science-data Postdoctoral research jobs at Duke University
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, Duke University Biology Department to study how archaeal microbial communities respond to stress in hypersaline environments. A PhD in computational and/or experimental biology is required in fields
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/bioinformatics, and data science. Work Performed · Work in highly collaborative inter-disciplinary environment with clinicians, econometricians, statisticians, and data scientists · Lead statistical analysis
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, evolutionary biology, computer science, physics, applied mathematics, or engineering. Our research integrates mathematical modeling, machine learning, and quantitative experiments to understand and control
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help you achieve your goals, and contact information for three references. For further information on this position please contact Dr. Leanne Gilbertson (leanne.gilbertson@duke.edu). Duke is an Equal
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. The Department of Biochemistry provides a rich intellectual environment, with research in structural biology (cryo-EM, X-ray crystallography, NMR spectroscopy), and computational biology. Duke’s benefits package
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. The Postdoctoral Associate will be based in Duke’s Department of Civil and Environmental Engineering and the research team led by Professor Heileen Hsu-Kim. The Postdoctoral Associate will perform experiments
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. Duke School of Medicine’s interdisciplinary Duke Molecular Physiology Institute (DMPI), is looking for two student assistants for Dr. Jon Campbell’s lab. Work hours will be Monday – Friday 9am – 5pm
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expands the lab’s protein engineering capabilities. This position is also crucial for mentoring junior members on PACE workflows and supporting data generation for collaborative therapeutic development
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biology, computational biology, and animal medicine. With these expertises, the DHVI is working collaboratively to develop vaccines and countermeasures against pathogens like HIV, SARS-CoV-2, and influenza
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Minimum Qualifications The candidate should have a Ph.D. in chemical engineering, mechanical engineering, chemistry, physics, or materials science with a computational modeling focus. Experience 0+ years