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relevant topic in machine learning, embedded systems, and edge intelligence Knowledge of accelerator simulators Strong knowledge in deep learning, particularly dynamic neural networks Experience with
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, risk management with RLMPC, sample efficiency and optimized exploration, latent state and belief state embedding in RLMPC. Are you motivated to take a step towards a doctorate and open exciting career
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, SFI-CELECT (Research Centre for Effective Engineering and Learning in Complex Systems) . The position is 3-year doctoral research fellowships starting in 2026/2027. The PhD candidates will be embedded
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, and advancing architectures and protocols for the emerging quantum internet. The project will be embedded in a strong competence-building environment (training researchers, contributing to university
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-pressure die casting of recycled aluminium alloys. The position is a 3-year doctoral research fellowship starting in the autumn of 2026. The PhD candidate will be embedded in the solidification research
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environment in quantum condensed matter theory and experiments, embedded in the Quantum Condensed Matter section of the Department of Physics, which hosts a Center of Excellence in Quantum Spintronics. Please