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Context: Controlling heat and particle fluxes on tokamak walls is a critical challenge for future tokamaks. Achieving burning plasmas near ignition while ensuring sufficient power distribution on divertor
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generation of MOF water adsorbents with optimal indoor air humidity control performance by leveraging state-of- the-art high-throughput (HT) computational screening based on Machine-Learning Interatomic
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Laboratory of Computer Science, Robotics and Microelectronics of Montpellier (LIRMM) and Alternative Energies and Atomic Energy Commission (CEA) | Montpellier, Languedoc Roussillon | France | 2 months ago
robotics and to develop a comprehensive methodology for the design, modeling, control, and experimental validation of frugal multi stable robots, from the elementary module to the assembled robot. The work
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interaction of magnetic skyrmions in nanodevices. The second objective will be to develop an inverse-design code combining micromagnetic simulations and machine learning methods, in order to optimize skyrmionic
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(for example: optimization in machine learning, optimal control problems, optimization with partial or ordinary differential equations, parameter identification). We are particularly interested in areas
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Materials, Bioinspired Materials and Sustainable Materials. For more details, please view https://www.ntu.edu.sg/mse/research . We are looking for a hands-on Research Fellow whose role will focus
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, coaching and advising on a range of safety and security issues to assist the university community to identify appropriate controls safety and security risks at work. The role will have a broad understanding
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of the European research infrastructure ECRIN-ERIC. You can learn more about us on our websites: https://creatic.muni.cz/ and https://czecrin.cz/ . We are seeking an experienced leader to take on the strategic
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wanting to monitor and optimize their health in a home setting, or to workers operating outside the reach of regular medical care and diagnostic equipment. As an Engineering Doctorate (EngD) candidate in
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Link https://www.ubjobs.buffalo.edu/postings/63868 Employer Research Foundation Position Type RF Professional Job Type Full-Time Appointment Term Salary Grade E.89 Posting Detail Information Position