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-coupled power systems https://cordis.europa.eu/project/id/101227683 ) consortium unites leading experts from academia and industry across Europe, leveraging expertise in wind energy, power systems, power
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operation. To design optical metasurfaces and material platforms exhibiting time-varying responses. Using adjoint-based optimization and spatial structuring, to realize complex time-modulated medium dynamics
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parameters. In parallel, the candidate will gain in-depth knowledge of time-modulated photonic media, nonlinear optics, adjoint-based optimization strategies for high-dimensional inverse design, and realistic
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optimization of nonlinear problems will be essential. The researcher must also be familiar with image manipulation and software development in Matlab or Python. The ability to collaborate both in academia and
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processes, regularity theory of nonlinear degenerate and singular elliptic and parabolic PDEs, free boundary problems, optimal control of free boundary systems with distributed parameters. Current areas
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optimization, including integer, nonlinear, and combinatorial optimization; global and non-convex optimization; machine learning for optimization; explainable artificial intelligence; heuristic and metaheuristic
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1829 and has the same motto today as it did then: Avancez – forward. URL to this page https://www.chalmers.se/en/about-chalmers/work-with-us/vacancies/?rmpage=job&rmjob=14682&rmlang=UK
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hybrid dynamical systems and control, optimization, and its application to cyber security. Familiarity with Lyapunov based analysis and control design tools is a must. This PhD position is part of a
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Operator Algebras, Nonlinear Functional Analysis, Topology and Geometry, algebra, etc. l applied mathematics, including Partial Differential Equations, Dynamical Systems, Combinatorics and Graph Theory
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PostDoc/Senior Scientist - Process and Plant Design in the Field of Liquid Organic Hydrogen Carriers
languages (e.g., Python, Julia, Matlab) Strong interest in process modeling and simulation, including novel methods and approaches such as neural networks and nonlinear optimization Ability to analyze complex