893 computational-physics-"https:"-"https:"-"https:"-"https:"-"UCL" positions in Germany
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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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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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sciences, computer science, mathematics, physics, engineering, statistics, or related quantitative fields Strong interest in applying computational methods to biomedical or health-related problems
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the development process What you contribute You are enrolled in mechanical engineering, CES, simulation sciences, process engineering, electrical engineering, physics, or a similar degree program You are known
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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
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computing and quantum computing are future-oriented topics that our researchers are working on. Our research fields are in the following areas - Fraunhofer ITWM »Optimization« »Processes and materials
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. Your Profile: The successful applicant must have the following: • M.Sc. in natural sciences, electrical engineering, physics, optics, medical technology, biomedical computing, or a related discipline
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of miniaturized imaging technologies. Your Profile: The successful applicant must have the following: • Ph.D. in natural sciences, electrical engineering, physics, optics, medical technology, biomedical computing
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? Individual scholarships exclusively for Postgraduate courses in Germany that are listed on the Duration of the funding 12 to 42 months (dependent on study programme) Value Depending on academic level, monthly
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imaging systems and ensure the optimal deployment and networking of sensors to efficiently process and analyze the resulting data streams. In this way, we support people in decision-making, process