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security. We utilize our expertise in numerical discretization techniques, high performance computing, mesh generation, and geometry representation for a wide variety of physics applications. Our intention
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devices using broadband spectroscopy and electron microscopy The position offers a stimulating interdisciplinary environment and opportunities to develop advanced skills in numerical optimization
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Associate on the track of Smart Integrative Energy Systems will participate in the research efforts of developing systems integration, analysis, design, control, and/or optimization models and algorithms
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research potential. Candidates will be considered with background in the areas of hyperbolic PDEs and optimization problems. Expertise in numerical simulations (with Matlab or Python) will be valued
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on the development and analysis of continuous and discrete models in connection with convex and nonconvex optimization problems and monotone inclusion systems. Our ideal candidate already has experience with modern
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. In this project, we aim to prove the concept of hard/soft concrete composites. The research will include: Computational modelling and optimization of concrete architectures Experimental testing and
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Description Job description We are seeking a postdoctoral researcher in vehicle or traffic engineering, with a focus on the longitudinal dynamics of cyclists. The work includes modeling, numerical analysis, and
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today. Their convergence has the potential to redefine how we simulate, optimize, and understand complex physical systems. Integrating AI into quantum computers and simulators can help overcome current
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the objective of optimizing grinding performance and enhancing resource recovery. The ideal candidate will have a strong background in mineral processing, comminution modeling, and ore characterization, and will
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date). Strong background in power systems analysis (OPF, state estimation) and numerical optimization/control. Proficiency with Python/MATLAB and power-system toolchains (e.g., MATPOWER/OpenDSS