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. The project focuses on power-aware computing, thermal optimization, and sustainable electronic design, targeting critical applications in aerospace, healthcare, and industrial automation. Hosted by the renowned
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: Engineering design & CAE (e.g., structural/thermal/fluids workflows) Chemical and process industries (e.g. optimization, control, surrogate models) Related computational engineering problems where simulation
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studies of orbital currents and conversion mechanisms to optimize the performance of spin-orbit devices Moirés of orthorhombic van der Waals magnets Exploring and controlling curvature-induced non
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theory, robust and optimal control, and physics-informed modelling, this research aims to bridge the gap between data-driven learning and dependable real-world autonomy. Aim You will have the opportunity
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, international group of 13 researchers from 8 countries, with expertise across energy systems and markets, optimization, control, game theory, and machine learning. Interdisciplinary by design: Work at the
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holography to ultra-wide-angle, ultra-high-resolution holography presents significant challenges. These include enormous data bandwidths, sophisticated optical control, advanced rendering pipelines, and new
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optimization, using machine learning and advanced metaheuristics. Furthermore, you should (together with the team) participate in development of solvers for stochastic optimization problems and test the methods
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. Empa is a research institution of the ETH Domain. Your tasks Optimizing vehicle aerodynamics to reduce transportation emissions, understanding airborne disease transmission, and predicting climate
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bioprocess optimization. The successful candidate will contribute to the development of sustainable bioconversion platforms for the transformation of biogas-derived carbon into amino acid-enriched biomass
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green transition. Due to the complexity and heterogeneity of the biological mechanisms underlying fermentation, achieving optimal performance often requires fine-grained, time-dependent, control