22 postdoc-computational-physics-"Multiple" Postdoctoral positions at Virginia Tech in United States
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Job Description The Department of Agricultural and Applied Economics invites applications for a postdoc position to develop and provide annual estimate of land use values of open space for all
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of applications will begin immediately and continue until the position is filled. Required Qualifications - Ph.D. in either Quantum Information Science, Computer Science, Mathematics, Theoretical Physics or a
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on therapeutically targeting enzyme vulnerabilities. Postdocs will be able to grow and develop their own projects under Dr. Mulvaney’s guidance. The Mulvaney Laboratory within the FBRI and CNRIC is
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, materials, virology, computational biology, science communication, community engagement, and ethics. Candidates should demonstrate all relevant qualifications (see required and preferred qualifications below
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his PhD degree in Prof. Curtis Berlinguette’s lab at University of British Columbia in Canada in 2018. He then moved to Prof. Erwin Reisner’s lab at the University of Cambridge for postdoc program. In
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of appointment will be two years. The position is on an interdisciplinary team of mathematicians, psychologists, and engineers who are exploring the dynamics of stress contagion in human crowds. The postdoc will
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include in vitro neural differentiation, gene expression manipulation, metabolic assays, and mouse breeding and behavior. Knowledge in basic computer skills, record keeping and experience with data
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computational data analysis. With guidance and support from the supervisor, the postdoctoral associate is expected to lead a project within their scientific discipline and collaborate with other researchers
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Qualifications - PhD in neuroscience, computer science, or related field. PhD must be awarded no more than four years prior to the effective date of appointment with a minimum of one year eligibility remaining
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for construction operations. The successful candidate will contribute to cutting-edge research in mixed reality (MR)-based simulation platforms, machine learning-based process optimization, and human-machine