42 model-driven-engineering-"Data-driven-Materials-Modeling" Postdoctoral positions at Virginia Tech
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processing, such as Python, MATLAB, or equivalent. - Prior involvement in data-driven research projects in heterogeneous catalysis, reaction engineering, or related fields. - Demonstrated adaptability
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significant contributions to AI that demonstrate high potential for research impact. · Published research experience in AI for scientific discovery and/or AI-driven biomolecular modeling and/or scientific
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driven treatments for chronic pain and alcohol use disorder – two major unmet clinical needs. Our lab integrates behavioral pharmacology, molecular pharmacology, cell based assays, and mass spectrometry
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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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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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. The candidate will apply a suite of statistical and physical models for integrating observations of different accuracies, improving predictions of future hazards. The work will further include research, writing
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of agentic AI systems for accelerating computational catalysis and experimental design. The successful candidate will contribute to building AI-native frameworks that combine physics-based modeling, machine
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models, analyzing and interpreting experimental data, preparing manuscripts and grant applications, and mentoring trainees within the laboratory. A major component of this position will involve mouse
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through peer-reviewed publications and/or preprints • Ability to work independently as well as collaboratively Preferred Qualifications • Experience using Drosophila (fruit flies) as a research model
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or Immunology. The successful candidate will work on an interdisciplinary research project focused on murine models of brain injury and innate immune regulation. Qualified candidates will be expected to work in a