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to the computational modelling efforts at the Materials Theory Group. We are seeking a candidate with a strong background in artificial intelligence and machine learning, applied to condensed/soft matter physics
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work that covers all the major fields in data science and operations research and core topics in machine learning and computer science relevant for a PhD in Data and Decision Sciences. These courses
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all the major fields in data science and operations research and core topics in machine learning and computer science relevant for a PhD in Data and Decision Sciences. These courses are mainly taught by
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, machine learning, physics, and related fields, including early-stage researchers eager to contribute to this emerging scientific frontier. Duties of the position Complete your doctoral education leading
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calculations Knowledge about machine learning application in condensed matter Knowledge about magnetism, superconductivity, and topological order Personal characteristics We are looking for a candidate who is
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analyses, machine learning algorithms, structural equation modeling). A good practical knowledge of R Personal characteristics To complete a doctoral degree (PhD), it is important that you are able to: Work
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, communication systems, and machine learning. Are you motivated to take a step towards a doctorate and open up exciting career opportunities? As a PhD Candidate with us, you will work to achieve your doctorate
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education sciences is theme-based and interdisciplinary. The doctorate has three main fields of study: language, literature, and history; cultural studies, art, and sports; educational research, learning
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team, with an interest in cross-disciplinary learning. The evaluation of candidates will place particular emphasis on personal and interpersonal qualities. We offer An exciting job with an important
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Academically relevant background within marine control/cybernetics, computer science, or hydrodynamics, with good skills in mathematics, programming, and machine learning. Master's degree in control engineering