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functional theory (DFT)-based approaches, coupled with effective continuum and/or tight-binding models derived from first-principles calculations. The project is part of a large, multi-institution
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. Teaching may also be included, but up to no more than 20% of working hours. Supervision of master thesis and PhD students may be involved. Collaboration with other universities and industry will be necessary
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. Teaching may also be included, but up to no more than 20% of working hours. Requirements: PhD degree in Chemistry, Physics or a foreign degree equivalent. The degree needs to be obtained by the time of
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 9 hours ago
materials research group led by Dr. Mengen Wang is seeking a postdoc researcher to work on computational materials. The postdoc researcher will perform DFT calculations and develop methods to accelerate
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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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benchmarking. Contribution to SIESTA training events. Contribution to other activities in the group. Requirements: PhD in Physics, Materials Science, Chemistry, Computer Science, or related disciplines
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between catalysts and reactants. Write scientific reports and research articles and participate in conferences. Candidate Profile PhD degree in Chemical Engineering, Materials Science, or a related field
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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
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CFD methods DFT and Molecular modelling linked to CCUS Strong analytical and problem-solving skills, with an ability to interpret and analyze simulation and/or experimental results. Ability to work in
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assemblies, ideally with a focus on battery materials. Demonstrated proficiency in Density Functional Theory (DFT) and/or Molecular Dynamics (MD) simulations, enabling the computational investigation