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Field
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to identifying and interpreting trends in regional-to-local scale signals and extreme events. Large ensembles of climate simulations are a key tool in such applications, but the computational cost of producing
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critical to understanding target behavior during irradiation in the High Flux Isotope Reactor (HFIR). This could also involve development, validation, and deployment of new physical and analytical testing
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climate change are far-reaching, particularly when it comes to identifying and interpreting trends in regional-to-local scale signals and extreme events. Large ensembles of climate simulations are a key
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Max Planck Institute for the Structure and Dynamics of Matter, Hamburg | Hamburg, Hamburg | Germany | 4 days ago
high-impact scientific journals Essential skills and qualifications MSc and/or PhD qualifications in Chemistry, Physics, Materials Science, Computational Science, Engineering or a closely related field
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available codes and existing high performance computing (HPC) infrastructure Identify key physics of the systems through simulations to drive actionable design recommendations Identify gaps between existing
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& Simulation Installation is open to experimental users with no experience in modelling and simulation, as well as to experimental and computational users with experience in the field. Projects from experimental
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and Professor of Practice Jouni Punkki. Job description Research activities will involve computational methods relying on physics-based continuum models to assess the mechanical, thermal, and acoustical
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interested in computational materials design and discovery. The successful candidate will develop new, openly accessible datasets and machine learning models for modeling redox-active solid-state materials
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77843, United States of America [map ] Subject Areas: Physics / Atomic, Molecular, and Optical Physics , Biophysics , Experimental Ultrafast Physics , Metrology , Optics and Photonics , Quantum Computing
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their dynamics. This will be carried out on a highly noisy incomplete data, posing a significant theoretical and computational challenge. Validate the developed methods in simulations and in real neuronal