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We are looking for a postdoc to join our team at the Division of Computer and Network Systems. Become part of our innovative group and contribute to exciting research in Computer Architecture within
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the following areas: deep learning, reinforcement learning, imitation learning, robot perception, navigation, and manipulation. Experience with whole-body control, humanoid or multi-DOF platforms, and
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established in the areas of electronic and electromagnetic simulation and design, machine learning and artificial intelligence in electrical engineering, electrical low-frequency and high-frequency measurement
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, or equivalent Ability to work independently throughout the research process, including planning, execution, analysis, and reporting of scientific studies Ability to collaborate and interact with individuals
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University This recruitment is also connected to the Wallenberg Initiative Materials Science for Sustainability (WISE, https://wise-materials.org ). WISE, funded by the Knut and Alice Wallenberg Foundation, is
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to the application deadline Hands-on experience with cleanroom fabrication techniques or precision manufacturing. Experience with CAD design and numerical simulation tools (e.g., CFD). Experience in 3D printing
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. A copy of your PhD thesis Use the button at the foot of the page to reach the application form. A background check may be conducted as part of the application process. Please note: The applicant is
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Luleå University of Technology is established in the areas of electronic and electromagnetic simulation and design, machine learning and artificial intelligence in electrical engineering, electrical low
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of further announcement publishing or other types of support for the recruiting process in connection with this position. *** URL to this page https://www.chalmers.se/en/about-chalmers/work-with-us/vacancies
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scenarios. The research combines field experiments, AI-based analysis of museum specimens, and advanced climate modeling to provide process-based insights into the ecological and economic consequences