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demand for costly and restrictive forensic mental health beds, collegial capability and capacity building, supported consumer recovery, and positive community perceptions of the regional forensic mental
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contribute to the energy community. You will work with supervisors from the engineering, information technology, and business & economics faculties to explore and solve pressing energy problems. And you will
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Max Planck Institute for the Study of Societies • | Koln, Nordrhein Westfalen | Germany | about 22 hours ago
location Köln In cooperation with University of Cologne , University of Duisburg-Essen Teaching language English Languages Courses are usually taught in English. Full-time / part-time full-time Programme
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Degree PhD (Doctor of Philosophy) Course location Berlin Teaching language English Languages The entire programme is taught in English. A basic understanding of everyday German is highly recommended
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networks and machine learning strategies for the analysis of scattering data. Large amount of scattering data obtained in our group requires development of the advanced analysis techniques. In this project
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. - Neural networks and machine learning strategies for the analysis of scattering data. Large amount of scattering data obtained in our group requires development of the advanced analysis techniques. In
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broad subject areas – but none operate in isolation. Community and collaboration are key at Harper Adams, meaning everyone, including staff, students and industry partners, benefits from a close network
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process. Address blind inverse problems by defining a network to learn distortion functions from data, informing the optimization in the learning process. Refine optimization and learning strategies
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professional network Communication skills in Norwegian or another Scandinavian language, both written and spoken If you cannot document skills in Norwegian, Swedish or Danish at level A2 upon employment
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reusable software and data artifacts where relevant. Communicate research outcomes through papers and talks at conferences, workshops, and beyond. Actively collaborate with other researchers in the TRL Lab