76 proof-checking-postdoc-computer-science-logic Postdoctoral positions at Duke University
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position is appropriate for a candidate who is enthusiastic and willing to undertake multiple molecular biology and computational approaches to evaluate host immunity elicited by candidate HIV vaccines when
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Neuroscience and Associate Chair of Psychology and Neuroscience; and Dr. Christopher Bail, Professor of Sociology, Computer Science, Political Science, and Public Policy and Director of the Society-Centered AI
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on implementation science approaches, to guide implementation, evaluation, and continuous learning. Lead and conduct analyses that generate actionable insights for policy, program improvement, implementation, and
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, Molecular Biology or a related field This position is onsite. The work is performed on-site or at a designated assignment location. Be Bold. You will be responsible for the intellectual development of a
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(Microbiology & Immunology, University of Michigan) Minimum Requirements Ph.D. in applied mathematics, computational biology, quantitative biology, or a related field. Experience in ABM development and ODE/PDE
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Academic credentials: PhD in ecology, biology, statistics, computer science or engineering, or oceanography with a strong quantitative analysis background, particularly in species distribution modeling
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Appointee holds a PhD or equivalent doctorate (e.g. ScD, MD, DVM). Candidates with non-US degrees may be required to provide proof of degree equivalency. 1. A candidate may also be appointed to a postdoctoral
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, computer science, applied physics, or a closely related field. Candidates with non-US degrees may be required to provide proof of degree equivalency. Note for international candidates: Generally, immigration
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Qualifications:. PhD in one of these fields: Computer Science, Data Science, Biomedical Informatics, Computational Biology, Information Science or a related field. Experience in at least one of the following
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. Analyze medical imaging datasets, including image segmentation and interpretation for research applications. Apply advanced computational techniques, including machine learning and deep learning