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Field
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the manufacturing process allowing for a faster and more precise optimization trough virtual engineering. You will work within a research team comprising two other researchers dedicated to this project
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or for multiobjective optimization problems. Implement the developed algorithms (e.g., in Python) and evaluate their practical performance on artificial and/or real-world data. Teach tutorials (in English) for
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sets, optimal value functions etc. The broad goal is to build upon recent developments in learning Operator Theoretic representations of dynamical systems that focus on model interpretability
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on performance and safety, for example, through the efficient computation of Lyapunov and barrier functions, forward and backward reachable sets, optimal value functions etc. The broad goal is to build upon recent
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that will enable optimal planning of the operation of a hydrogen fuel cell and its converter, taking into account electrical demand, energy prices, and system status, in order to maximize the efficiency and
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. The project will be jointly supervised by Dr Susanne Bornelöv (Biochemistry; https://www.sblab.uk ) and Dr Lukas Westlake (AstraZeneca), and the successful applicant will have the opportunity to work across
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PostDocs, and several Ph.D. students. More in general, research at LAAS-CNRS spans robotics, optimization, control, telecommunications, and nano-systems. The robotics department at LAAS-CNRS counts more than
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together complementary expertise. Objectives of the PhD - Define the sizing and operating conditions of the expansion machine to optimize coupling with the linear alternator, using a dedicated simulation
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Infrastructure? No Offer Description Work group: PGI-15 - Neuromorphic Software Eco System Area of research: Promotion Job description: Your Job: The conventional, manual co-design of algorithms and hardware is
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) to evaluate performance of electrodes and to map electrolyte chemical composition in micrometer resolution, allowing validation of the model predictions. Validation and evaluation of the RFBs with optimized