24 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 22 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 12 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 22 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 12 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 6 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 12 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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