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sensing, poromechanical modeling, and elastic crustal load modeling. Preferred Qualifications Knowledge of Remote sensing of surface water quality, numerical modeling, GIS, leadership and advising skills
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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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, college, and university priorities. This individual serves as a member of both the department leadership team and the College of Engineering communications team. Working within the advancement model
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-on expertise in building and characterizing 3D multicellular tissue models — including hiPSC-derived and primary-cell co-culture/organoid systems — to lead studies defining how spatial and multicellular context
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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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in the Southern Appalachian and Mid-Atlantic region. The position focuses on developing and applying an integrated, spatially explicit modeling framework that links forest resource utilization, life
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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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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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• Ability to work independently as well as collaboratively Preferred Qualifications • Experience using Drosophila (fruit flies) as a research model • Experience in molecular biology techniques • Experience in
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associates in Artificial Intelligence (AI) in Biomolecular Modeling. The postdoctoral associate will focus on developing and applying AI methodologies to drive advances in drug discovery and biomolecular