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Delft University of Technology (TU Delft) | Delft, Provincie Zuid-Holland | Netherlands | 18 days ago
complex systems, from sustainable energy grids to autonomous mobility. In this ERC-funded PhD project, you develop cutting-edge game-theoretic control and optimization methods. Job description Modern
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Mathjobs.org | 24 days ago
flows, scientific machine learning, optimization, inverse problems, or data assimilation, who have the potential to supervise PhD and master's student research with ability to contribute to curriculum
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flows, scientific machine learning, optimization, inverse problems, or data assimilation, who have the potential to supervise PhD and master's student research with ability to contribute to curriculum
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solving security assessment and optimization problems at unprecedented speed and scale. While high-performance computing (HPC) has become the backbone of large-scale power system simulation, emerging
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, optimization, inverse problems, or data assimilation, who have the potential to supervise PhD and master's student research with ability to contribute to curriculum needs in the department. The
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. We look forward to receiving your application! Your work assignments The project focuses on the development and optimization of electrocatalysts and electrolyzer systems for sustainable energy
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requires good theoretical and hands-on expertise. Perfectly suited for those at the intersection of theory and application. Develop customized ILC and parameter optimization algorithms for industrial
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optimization sector. The research activity will focus on the use of new technologies and data for the optimization of decision-making problems, particularly, but not exclusively, in the areas of passenger
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"POEMA" (Polynomial Optimization, Efficiency through Moments and Algebra). POEMA trains scientists at the interplay of algebra, geometry and computer science for polynomial optimization problems
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, chemical synthesis, and optimization of small-molecule inhibitors targeting the different NADPH oxidase (NOX) isoforms. Activities include hit-to-lead optimization through structure–activity relationship