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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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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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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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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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and theoretical and computational collaborators. Your experience and ambitions Interest in experimental condensed matter physics – especially in superconductivity and magnetism. Proficiency in searching
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. The experimental data obtained from Mckenna burner, optical spray and combustion chamber, and optical engine will provide valuable benchmarks for validating Computational Fluid Dynamics (CFD) models of high-pressure
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which will be completed during the second year. More info here . The applicant for doctoral studies must satisfy the admission requirements of Aalto University: Aalto Doctoral Programme in Engineering
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release on these projects can be found at the following link . This position’s focus is on developing engineered systems and methods to quantify the physical interactions between migrating cancer cells and