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, such as pulse design or numerical optimization Background in data-driven or machine-learning approaches relevant to optimal control (e.g., model learning, reinforcement learning) What you will do Take
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generation internet of things, and 6G telecommunications. MetaMind Innovations P.C is currently ranked as a top spin-off performer in Greece, while participating in numerous EU-funded projects in the context
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one of the many data-driven team members in the University of Utah Office of Advancement, a unit dedicated to serving main campus, University of Utah Health, and numerous affiliated organizations and
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distributed wireless systems" which is conducted in collaboration between Linköping University (LiU) and Lund University (LU). Read more here: https://elliit.se/project/machine-learning-for-sensing-in
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Conduct numerical calculations to support the design and optimization of thermoelectric elements and modules. Perform analyses of thermal stresses in thermoelectric modules, including for various types
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tasks: Scientific and technical activities inherent to Activity 3 in the THESIILO project (0437_THESILO_4_E), namely, the design, simulation, and optimization of an integrated heat exchanger mediating
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component, particularly magnetic components, Optimization and surrogate-modeling in Python, Integration of machine learning and numerical methods. We encourage applications from candidates with a strong
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that are relevant to industry demands while working on research projects in SIT. The researcher will be part of the team of the CFI Project (https://www.pub.gov.sg/-/media/PUB/Resources/Press-Releases/2024/06/Annex
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strong background in Mathematical Optimization and/or Numerical Analysis is desirable. Completed the previous degree with an excellent GPA (top 10% of class as a guideline) Proficiency in English to be
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Description The Industrial Informatics group at FEE/RICE is focused on the application of advanced optimization techniques to: i) design of new electro-mechanical devices using numerical simulations, ii) system