1,549 machine-learning "https:" "https:" "https:" "https:" "The Open University" positions in Germany
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adaptation to new environments. In particular, you will evaluate different methods to identify out-of-distribution domains. You will also evaluate different approaches for automated model-learning using
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Water-Energy-Food-Ecosystem nexus. You are familiar with the basics of statistics or are willing to learn them. You independently and proactively plan upcoming work steps, set priorities and ensure
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cafeteria. Curious to learn more? Discover what makes working at Fraunhofer IZI special and what benefits we offer our employees here . The position is initially limited to two years. The weekly working time
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, scientific libraries (PETSc, GSL, OpenBLAS), LLM/Deep learning pipelines and corresponding software libraries (e.g., TensorFlow, PyTorch). Familiarity with basic software engineering fundamentals, including
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is also expected. The successful candidate should be able to teach and research in English as well as in German and have a high level of proficiency. Since the professorship requires active
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systems Real-time control Wavefront sensors based on deep learning Development and construction of new wavefront sensors You will write reports (in German) and publications (in English) What you contribute
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opportunities. We are convinced that diverse teams and a variety of perspectives enrich our work and our daily collaboration. In a continuous process of learning and reflection, we aim to ensure that all our
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University of Education Freiburg • | Freiburg im Breisgau, Baden W rttemberg | Germany | about 1 hour ago
of the programme are to promote research on learning and teaching foreign languages in these regions and to qualify academic staff to gain proficiency in the fields of scientific methods and methodology in foreign
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Aesthetics AG Global South AG Writing Historical Theory and Methods of Source Analysis Early Childhood Education, Development, and Socialization Foreign-Language Teaching/Learning with Digital Distribution and
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to academic feedback. The work will be grounded in psychological theories of learning and motivation. We welcome applicants from psychology, cognitive science, cognitive and affective neuroscience