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of senior researchers, the individual will help apply machine learning methods, with a focus on reinforcement learning, to mathematical problem solving. The role emphasizes hands-on experimentation
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statistical physics, control theory, and where appropriate, machine learning and data-driven techniques. The position offers a structured career development path within an active and ambitious research group
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recrystallization and control nucleation for biomedical applications in e.g. heart and kidney cryopreservation. Where to apply Website https://www.academictransfer.com/en/jobs/359905/phd-in-de-novo-design-of-ice-bi
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environment in Production Technology. With about 70 researchers, research engineers, and PhD students, it carries out research on welding, metal additive manufacturing (AM), and thermal spray manufacturing
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stability analysis and control, machine learning, dimensionality reduction and high-performance computing. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UPR3346-NADMAA-159/Default.aspx
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in research funding, 15 undergraduate researchers, and 9 PhD students. The successful candidate will lead the Center for Power Systems Studies (CPSS), expand industry collaborations, teach power
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, SIAM Review, 60(3):550–591 (2018). [4] Diederik P Kingma and Max Welling, Auto-Encoding Variational Bayes, International Conference on Learning Representations (ICLR) 2014 ArXiv. http://arxiv.org/abs
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Fundación para la Investigación Biomédica del Hospital Gregorio Marañón (FIBHGM) | Spain | 5 days ago
or Engineering Where to apply Website https://www.iisgm.com/ofertas-de-empleo/ Requirements Research FieldOtherEducation LevelBachelor Degree or equivalent Skills/Qualifications Minimum job requirements: The
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to one or more of the following areas: Renewable energy systems and photovoltaic technologies Smart grids and power systems Battery energy storage systems Artificial intelligence and machine learning
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fully funded PhD position in the area of safe data-driven system identification for cyber-physical systems, offered by our research group at the intersection of control theory, machine learning, and