25 computer-programmer-"https:"-"FEMTO-ST" "Inserm UMR S 1250" Postdoctoral positions at Virginia Tech
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alternative data sources, maintaining detailed design specification and written documentation for existing models, being responsible for the development of new computational methods and work with programmers
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Job Description Applications are invited for a National Science Foundation funded (LEAP HI Program #2051685), Postdoctoral Associate position with the System Performance Laboratory (SPL
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research program that works both within and at the boundaries of data science/econometric methods and the social sciences to discover, create, and disseminate new knowledge. The successful candidate will
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motivated and collaborative researcher with expertise in engineering, materials science, or related computational fields to contribute to our growing research program in sustainable food packaging. Current
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and collaborative researcher with expertise in engineering, materials science, or related computational fields to contribute to our research program focused on transport packaging optimization and
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of appointment with a minimum of one year eligibility remaining. - Strong promise of developing an active research program in an area that can be mentored by the Mathematics Department faculty. Preferred
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, with opportunities to publish, contribute to proposals, and gain experience in laboratory and project management. For more information, please visit: https://nmfc.me.vt.edu/. Required Qualifications
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candidate will play a key role in developing and advancing new models and simulations for Computational Fluid Dynamics (CFD) hypersonic codes. Specific tasks include developing new turbulence and transition
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systems for accelerating computational catalysis and experimental design. The successful candidate will contribute to building AI-native frameworks that combine first-principles modeling, machine-learning
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, particularly turbulence in the boundary layer; developing new high-speed measurement techniques, particularly using optical diagnostics methods; augmenting experimental data with Computational Fluid Dynamics