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Information Eligibility criteria - PhD in theoretical chemistry applied to materials, materials physics, or computer science/applied mathematics; - Solid experience in DFT applied to periodic systems (codes
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tools. Requirements: Education: · Undergraduate in Physics, Chemistry, Materials Science, or related disciplines. · PhD in Physics, Materials Science, Chemistry, Computer Science, or related disciplines
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of Group/Project: We are building an optimisation-driven framework that makes AI models reliably operate advanced scientific software (e.g., DFT, Wannierisation, and quantum-transport codes) and (ii) uses
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materials data bases together with novel AI tools. Requirements: Education: · Undergraduate in Physics, Chemistry, Materials Science, or related disciplines. · PhD in Physics, Materials Science, Chemistry
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functional theory (DFT) or tight-binding modeling of materials, as demonstrated in application materials. NOTE: To be appointed at the Postdoctoral Researcher title, it is necessary to have the PhD in hand
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assessment of CCUS value chains Reactor design, optimization, and sizing using phenomenological and/or CFD methods DFT and Molecular modelling linked to CCUS Strong analytical and problem-solving skills, with
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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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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days 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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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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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