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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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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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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
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: PhD or equivalent degree in Robotics, Computer Science, Machine Learning, AI, Control Engineering, or a related field. Excellent programming skills and experience with related tools and software. A
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. We are now looking for: Three (3) Doctoral Researchers (PhD students) in Machine-Learning-Driven Atomistic Simulations The Data-driven Atomistic Simulation (DAS) group, led by Prof. Miguel Caro
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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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a Doctoral Researcher for experiments in swarming dynamics of living swimmers A 4-year Doctoral Researcher position is available in the Living, Fluid, & Soft Matter group of Prof. Matilda Backholm
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CHEM School: Prof. Daniel Martin-Yerga (Electrochemical Materials and Applications , Department of Chemistry and Materials Science ) and Prof. Tiina Nypelö (Lignocellulosic Chemistry , Department