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behavior within the storage system to optimize design and performance. Demonstrated proficiency in Density Functional Theory (DFT) and/or Molecular Dynamics (MD) simulations, enabling the computational
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proficiency in Density Functional Theory (DFT) and/or Molecular Dynamics (MD) simulations, enabling the computational investigation of material properties, electronic structure, and atomic-scale behavior
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candidate will join a multidisciplinary team advancing MagSynth , a DOE-supported platform that integrates synthetic biology, AI, and quantum simulations to enable selective recovery of critical minerals
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yield optimization. Exposure to quantum chemistry (DFT) and molecular simulations is a plus. Experience with cloud computing and/or high-performance computing (HPC) resources. Application Process
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advanced characterization methods of inorganic materials and their assemblies, ideally with a focus on battery materials. Demonstrated proficiency in Density Functional Theory (DFT) and/or Molecular Dynamics
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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
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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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are seeking a highly motivated candidate to contribute to the development of new catalytic systems through computational simulations and theoretical studies. Main Responsibilities: Perform computational
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areas of nanoscience and nanotechnology. Job Title: Postdoctoral Researcher (HANAMI) Research area or group: Theory and Simulation Group Description of Group/Project: The Theory and Simulation Group has
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collaboration with colleagues working with DFT tools. Numerical 3D simulations of complex nano-devices using commercial or in-house software. The goal is to obtain realistic profiles of strain and electrostatic