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. Writing scientific articles. Presenting results at scientific conferences. Where to apply Website https://sede.uam.es/sede/piproyectos Requirements Research FieldBiological sciencesEducation LevelPhD
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) 37 Website for additional job details https://www.cvut.cz/en/ctu-global-postdoc-fellowship https://phys.fel.cvut.cz/en/applied-physics-topics-for-phd-thesis/ https://taco… Work Location(s) Number
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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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. Interpretation of experimental results and integration with theoretical/DFT insights in collaboration with computational partners. Active participation in synchrotron beamtime experiments (XANES, EXAFS) and post
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research group is associated with the newly established Center of Excellence in Neutron-Star Physics (https://neutronstars.fi ), providing us long-term funding, strong connections to related Finnish and
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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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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day 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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Description: Apply Position Description We invite talented and motivated applicants for PhD and Postdoc positions in the group of Haowei Xu (https://www.haoweixu.com/ ) at the Department of Physics, City
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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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the next generation of PV technologies for beyond 2030. The new postdoctoral research position will use materials modelling techniques (DFT, molecular dynamics, machine learning potentials) to investigate