47 proof-checking-postdoc-computer-science-logic positions at Virginia Tech in postdoctoral
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Sciences, Geodesy, Physics, Mathematics, Computer Sciences, Civil & Environmental Engineering, or a related field. PhD awarded no more than four years prior to the effective date of appointment with a
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and security challenges, build sustainable solutions, and provide expert perspective on using AI. Required Qualifications - PhD in computer science, statistics, data analytics, business administration
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computational biology. The successful candidate will have opportunities to interact with scientists across the Department of Entomology, the Fralin Life Sciences Institute, The Invasive Species Collaborative, and
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that can be repurposed for viruses with pandemic potential. This includes working closely with computer scientists to utilize published “omics” datasets and machine learning approaches to identify FDA
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Open, Communications Earth & Environment, Computers, Environment and Urban Systems, and Travel Behaviour and Society. His research has been supported by the National Science Foundation, OpenAI, Virginia
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Carilion (VTC). About the Lab: The lab integrates state-of-the-art neural recording technologies, complex cognitive tasks, and computational models to investigate the neural basis of flexible cognition. From
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supervision of Prof. Yingda Cheng on computational methods and modeling for kinetic equations. The research conducted will involve development of numerical methods, development and analysis of reduced order
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• Experience in molecular biology techniques • Experience in computational data analysis and scientific programming (Python, R, MATLAB) • Experience in connectome analysis • Experience in molecular dynamics
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and life insurance, Virginia Tech offers employees a robust benefits program. This full range of benefits, services, and competitive salaries are an integral part of the university's total compensation
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in Hall C. If the candidate has experience with data analysis in the GlueX collaboration, we will consider the possibility to analyze data in support to the Generalized Parton Distributions program