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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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, numerical linear algebra, numerical analysis, optimisation, and differential geometry. The project lies at the intersection of numerical linear algebra and Riemannian optimisation, and its main goal is to
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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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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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program and will be performed in close collaboration with industrial partners. According to the World Health Organization, pollution and toxic gases are a contributing factor to 7 million deaths annually
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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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at the Department of Chemistry and Materials Science, Aalto University, is looking for three PhD students to join cutting-edge research projects in atomistic modeling, machine learning, and computational materials
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emphasis on research infrastructure and technology rather than preparation for an academic career path. You will be involved in research, but more focused on learning and improving how computing, workflows