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& robust control, and learning for dynamics & control. The main task of the PhD student will be to develop sound data-driven methodologies for learning control policies with provable guarantees
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, spatial, and social data into digital twin models for scenario testing and policy simulation. Adapt co-design methods to local contexts in demonstrator sites (Portugal, Sweden, Italy). Contribute to policy
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future generations of research and development professionals, data specialists, technology experts, inventors, and scientists for industry and society. The Department of Applied Physics at Aalto University
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future generations of research and development professionals, data specialists, technology experts, inventors, and scientists for industry and society. We are now looking for Two Postdocs in
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reaching the milestones including the supervision of PhD, MSc, and BSc theses Collect and archive reporting data from your peers to keep track on the progress Coordinate our local efforts with our national
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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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. 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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simultaneous data acquisition with fluorescence live-cell microscopy. This PhD position offers the opportunity to develop technologies for acquiring novel data on cancer tissue biomechanics—information that has
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generations of research and development professionals, data specialists, technology experts, inventors, and scientists for industry and society. The Macroscopic Quantum Optics (MQO) Group at Aalto University
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generations of research and development professionals, data specialists, technology experts, inventors, and scientists for industry and society. The Macroscopic Quantum Optics (MQO) Group at the Department