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computer-based systems and the preparation of data for inclusion in lab books, presentations and publications. Maintain a hardcopy or electronic lab book · Work in compliance with relevant Health and Safety
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to model them through computer simulations is highly valued. · Knowledge of classical molecular dynamics, including Machine Learning Interatomic Potentials. · Other research experience will be considered
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valued. · Knowledge of chemical reactions and how to model them through computer simulations is highly valued. · Knowledge of classical molecular dynamics, including Machine Learning Interatomic Potentials
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. Contribution to the design, implementation and testing of AiiDA-based exascale workflows that employ SIESTA, thus providing an additional avenue to leverage and saturate exascale performance. (Not all post
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internal reports and manuscripts. Requirements: PhD in Physics, Materials Science, Computational Science/Engineering, Computer Science, or related. Solid knowledge of machine learning, including graph neural
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. Contribution to the design, implementation and testing of AiiDA-based exascale workflows that employ SIESTA, thus providing an additional avenue to leverage and saturate exascale performance. (Not all post
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build using molecular dynamics, the MACE foundation models and density functional theory. Main Tasks and responsibilities: AI4LSQUANT aims to accelerate quantum modelling by learning fast, accurate
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most powerful HPC infrastructures in Japan (FUGAKU,...). Main Tasks and responsibilities: The post holder will become the central person in the collaborative effort described above. Work will involve
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development Electrochemical measurements (CV, GCD, Impedance) for electrode and cell characterization. Final testing and validation. Post-mortem analysis of cells Patent/paper/ reports writing Dissemination