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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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. Utilizing a combination of experimental and computational approaches, we develop and characterize novel functional materials and devices driven by robust nanoscale quantum effects. We are currently seeking a
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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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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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writing C++ and PyTorch. Training and debugging RL agents. Imitation Learning algorithms for robotics or autonomous vehicles. Prior work combining RL with human data or feedback. A track record of code
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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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Max Planck Institute for the Structure and Dynamics of Matter, Hamburg | Hamburg, Hamburg | Germany | 15 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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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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Engineering, Computer Science, Applied Mathematics, or related fields Strong background in control systems, machine learning, and scientific computing Programming proficiency and experience with simulation
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students on data analysis and detector projects. 40% Instruction of introductory physics lecture section 25% Core reconstruction and simulation software and computing development 15% Construction