25 dft "https:" uni jobs

  • IMEC | Belgium | about 1 month ago

    the test engineering team on silicon characterization and validation Where to apply Website https://www.imec-int.com/en/work-at-imec/job-opportunities/dft-architect Requirements Research

  • NIST | Gaithersburg, Maryland | United States | about 19 hours ago

    NIST only participates in the February and August reviews. There is a growing need for high-performance materials for various technological applications. To address this need, the NIST-JARVIS (https

  • CNRS | Caen, Basse Normandie | France | 4 days ago

    motivated to acquire new skills. Candidates must be fluent in English and/or French with scientific writing skills. The doctoral contract will take place at the CRISMAT laboratory (https://crismat.cnrs.fr

  • DAAD | Germany | about 9 hours ago

    Functional Theory (DFT) Familiarity with artificial intelligence methods Good knowledge of electronic structure methods Experience with Linux, Git and related tools Knowledge in the field of high-performance

  • NIST | Gaithersburg, Maryland | United States | about 19 hours ago

    NIST only participates in the February and August reviews. First principles calculations, usually based on density functional theory (DFT), are a crucial aspect of modern materials physics research

  • University of Manchester | Manchester, England | United Kingdom | about 10 hours ago

    support for our students and staff. The purpose of this role is: The Design, Fabrication and Testing Platform (DFT) builds upon the innovative, creative, practical and research capabilities of our

  • University of Virginia | Charlottesville, Virginia | United States | 4 days ago

    in structure characterization of homogeneous and heterogeneous catalysts using nuclear magnetic resonance (NMR) spectroscopy and density functional theory (DFT) to deduce structure-property

  • DAAD | Germany | about 3 hours ago

    combines state-of-the-art computational multiscale modelling (using DFT/TDDFT methods, collision theory, molecular dynamics, stochastic dynamics, Monte Carlo and analytical methods) and its thorough

  • DAAD | Germany | 23 days ago

    Description In this project, we develop machine learning models for prediction of optical properties of chiral molecules based on DFT/CCSD data which we calculate ourselves. We include derivative information by

  • DAAD | Germany | about 9 hours ago

    combines state-of-the-art computational multiscale modelling (using DFT/TDDFT methods, collision theory, molecular dynamics, stochastic dynamics, Monte Carlo and analytical methods) and its thorough

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