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(LLM), and optimization algorithms. Collaborating with our team to transform research insights into practical, impactful solutions. Staying abreast of the latest advancements in ML, transformers, graph
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collaborate on modelling and numerical optimization in robotics, electromobility, and autonomous driving. The team is international and combines expertise in control, optimization, and statistical inference. A
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optimization in robotics, electromobility, and autonomous driving. The team is international and combines expertise in control, optimization, and statistical inference. A key strength is the close collaboration
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Do you dream of organic and holistic ways of automating the design, motion optimization and control of legged robots? With this postdoc position, you have the opportunity to be a part of the ongoing
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, to automation and optimization, machine design, production, and production systems. Project Description This PhD project is part of the research project “Sustainable and Resilient Hydrogen Infrastructure
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methods to improve steel recycling and minimize the reliance on primary iron, by optimization of steel processing. Steel scrap is not a uniform material but a very diverse group of materials with widely
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responsibilities will extend to maintaining, further developing, and optimizing the instrumentation and sample environments, ensuring the beamline operates at its full potential. Your main work tasks will be Plan
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Engineering, or a foreign degree deemed equivalent, in Electrical Engineering or related fields, or equivalent competence considered relevant by the employer. Strong knowledge in control and optimization theory
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organization and management, innovation and entrepreneurship, and industrial and social marketing in technology- and innovation-intensive activities, to automation and optimization, machine design, production
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or actuarial mathematics, such as extreme value theory, inference for stochastic processes, optimization theory, and/or Monte Carlo simulations. The duties primarily involve research and teaching within