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invites applications to Doctoral Researcher positions in Computational Physics The positions are hosted in the Surfaces and Interfaces at the Nanoscale(SIN) group at Aalto, led by Prof. Adam Foster. We
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aims to optimize the operations (serving) of AI by developing algorithms that manage compute, network, and storage resources in a carbon-efficient way while supporting long-term benefits
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aims to optimize the operations (serving) of AI by developing algorithms that manage compute, network, and storage resources in a carbon-efficient way while supporting long-term benefits
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attitude toward high-quality research to work as a full-time Doctoral Researcher or Postdoctoral Researcher in Computational Structural/Solid Mechanics. The candidate's research activities will focus
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, including: Robot Learning: Creating algorithms that empower robots to learn autonomously from interactions and adjust to new tasks. Manipulation: Enhancing techniques for precise and adaptable object handling
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QCD group as a Research Fellow with Prof. Mikko Möttönen being your direct superior. The QCD group ( https://www.aalto.fi/en/department-of-applied-physics/quantum-computing-and-devices-qcd ) is one
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Researcher with Prof. Mikko Möttönen being your direct superior. The QCD group ( https://www.aalto.fi/en/department-of-applied-physics/quantum-computing-and-devices-qcd ) is one of the leading groups working
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principles of machine drives and converters. You will also have opportunities to contribute to our open-source computational tools, teach master-level courses, and advise doctoral students. Our strong industry
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QCD group as a Research Fellow with Prof. Mikko Möttönen being your direct superior. The QCD group ( https://www.aalto.fi/en/department-of-applied-physics/quantum-computing-and-devices-qcd ) is one
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supervision of Prof. Vanni Noferini. Your role and goals You will work on the theme of “Matrix nearness problems via Riemannian optimisation’’. Areas of mathematics that are relevant include matrix theory