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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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. 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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research group and establish an ambitious research program in the burgeoning research field of Living State Physics. The new professor shall actively engage in education in this field at the NBE department
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and Professor of Practice Jouni Punkki. Job description Research activities will involve computational methods relying on physics-based continuum models to assess the mechanical, thermal, and acoustical
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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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is English. We are seeking excellent candidates at post-doctoral level to participate in new research endeavours, related to robot learning, manipulation, and AI for autonomous physical systems
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. At the same time, 20-50% of industrial energy is ultimately lost as waste heat. With the rising demand for computing power, data centers are producing increasing amounts of low-grade waste heat. Likewise, as
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University explores synergies between nonlinear control theory and physics informed machine learning to provide formal guarantees on performance, safety, and robustness of robotic and learning-enabled systems
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for process simulation, thermodynamic and kinetics modeling in high temperature metallurgy. The salary is determined based on the experience and qualifications of the selected candidate. As an employer, Aalto