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) with DFT atomistic simulations to investigate the electronic structure and defect states in wide bandgap semiconductor nanomaterials. The goal is to better understand and optimize function
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areas of nanoscience and nanotechnology. Job Title: Postdoctoral Researcher (Computational Materials Science - AI for Catalysis) Research area or group: Theory and Simulation Group The Australia-Spain
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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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ML surrogate models for electronic structure and electrostatic potential in 2D materials Perform large-scale materials simulations (e.g., DFT, tight-binding, continuum models) to generate training and
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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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Sequestration by demonstrating at least some of the following competencies. Experimental development, testing, and demonstration of novel CCUS technologies Process simulation, cost, life cycle, and social
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areas of nanoscience and nanotechnology. Job Title: Senior Postdoctoral Researcher Research area or group: Theory and Simulation Group Description of Group/Project: The Theory and Simulation Group has
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physics scale with the component-level scale to simulate the thermomechanical response of the full first wall/blanket structures during fusion reactor operation. Villanova is a Catholic university sponsored
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Postdoctoral Research Associate- AI/ML Accelerated Theory Modeling & Simulation for Microelectronics
for model refinement. Perform multi-scale simulations (e.g. DFT / atomistic / phase-field simulations) to train AI/ML models. Conduct scientific research on ferroelectrics and/or 2D memristive materials