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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
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, Nuclear Physics, or a related field. Ph.D. candidates nearing completion are also encouraged to apply. Backgrounds in experimental, theoretical, and/or computational research; candidates from all areas will
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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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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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, potential or demonstrated, of international standing strong mathematical and computational skills, and experience with machine learning tools and software libraries, as well as dynamical system simulation and
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to address critical computational challenges in simulating the physical dynamics of millions of lakes worldwide. The successful candidate will create innovative solutions that significantly enhance large-scale
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methods (LBM). For fluid simulations, we utilize the high-performance LBM framework waLBerla, predominantly written in C++, but increasingly adapted for GPU computations through automatic code generation
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About us The Faculty of Natural, Mathematical & Engineering Sciences (NMES) comprises Chemistry, Engineering, Informatics, Mathematics, and Physics – all departments highly rated in research
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The Robot Learning Lab in the Department of Computing at Imperial College London is seeking a talented Research Assistant (pre-doc) for an ambitious new project on dexterous robot learning. In
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Max Planck Institute for the Structure and Dynamics of Matter, Hamburg | Hamburg, Hamburg | Germany | 23 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