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Healthcare Monitoring We welcome applications from those with expertise in or across these disciplines: Computational materials modeling: DFT, molecular dynamics, phase-field modeling, or multiscale
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: Computational materials modeling: DFT, molecular dynamics, phase-field modeling, or multiscale simulations. Data-driven materials discovery: ML models for property prediction, materials design, or synthesis
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in written and oral English. Experience in DFT-based molecular dynamics simulations and free energy calculation (e.g., metadynamics and free energy perturbation) in condensed phase systems. Programming
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fluent in written and spoken English. Desirable qualifications: Experiences in battery technology, especially Li-ion batteries, will be beneficial; as is comptences in materials modelling (DFT, MD, etc
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, MD simulation, DFT modeling) Numerical methods in mechanics of materials for fatigue If interested, please send your application materials with the subject line “Postdoc in AM” to Dr. Amir Mostafaei
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-dependent current DFT, will likely also be required as we learn about physical phenomena underlying the CISS effect. Bhat group The position will involve developing new mathematical/computational methods
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 27 days ago
materials research group led by Dr. Mengen Wang is seeking a postdoc researcher to work on computational materials and machine learning-driven materials discovery. The postdoc researcher will perform DFT and