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available in the further tabs (e.g. “Application requirements”). Objective This programme offers you the opportunity to do a bi-national doctoral degree at your home university and at a university in Germany
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combinable with scientific research (up to 20% of the work hours). Requirements for employment are a completed Master or PhD degree in a relevant field (computational / theoretical linguistics, cognitive
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topics at Fraunhofer ITWM are machine learning, artificial intelligence, renewable energies, and sustainability. In addition, next-generation computing and quantum computing are future-oriented topics
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, physics, chemistry or related disciplines Enjoy experimental work in international and multidisciplinary teams Communicative, structured and target oriented way of working Knowledge of German or English Our
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with clinical PACS systems and DICOM data handling Knowledge of Python and/or MATLAB, especially in scientific computing and image processing contexts Enthusiastic and motivated team player Good
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at Fraunhofer ITWM are machine learning, artificial intelligence, renewable energies and sustainability. In addition, next-generation computing and quantum computing are future-oriented issues that our
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. Candidates are required to have: master’s degree (or equivalent) in Chemistry, Physics, Materials Science, Nanoscience, Computing in Science or a closely related field strong background in X-ray based methods
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. Results are evaluated, discussed, and regularly reported to relevant stakeholders. What you contribute You are studying chemistry, chemical engineering, physics, electrical engineering, physical chemistry
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. Documentation and presentation of results What you bring to the table Master studies in the fields of engineering, physics, chemistry, computer science, or comparable. Fundamental knowledge of OpenFOAM and basic
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with foreign partner organisations. The scholarships are funded by the Federal Ministry of Research, Technology and Space. Who can apply? The programme is aimed at university teachers and experienced