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computational tools to evaluate models of biological and artificial vision, as part of the DFG-funded Collaborative Research Center (CRC) “Robust Vision” at the University of Tübingen. This is a unique
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systems for measurement processes, or innovative hardware and software for quantum computers and quantum sensors: we develop tomorrow’s technology in-house for a sustainable and secure society. When will
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Your Job: We are looking for a highly motivated postdoc to join the neutron backscattering spectrometer team to support the instrument development program for the instrument SPHERES. To further
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founded research area of "Digital Technologies" with a focus on computer-aided high-throughput methods and AI-supported model development presentation of scientific results at international conferences and
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for different application use cases Your Profile: Enrolled in a Master’s program in physics, materials science, electrical engineering or a related discipline Solid background in solid-state physics and/or
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degree or equivalent scientific qualification, as well as pedagogical aptitude, are prerequisites. Substantial research experience abroad and contributions to study program development are expected
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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. The Applied Machine Learning (AML) group is part of the Department for Artificial
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of Veterinary Medicine Hannover, Helmholtz Centre for Infection Research, Braunschweig Teaching language English Languages Courses are held in English only. Full-time / part-time full-time Programme duration 6
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Degree Due to the interdisciplinary nature of the programme, one of the following degree titles can be awarded: Dr rer nat, Dr phil, Dr iur, Dr oec publ or Dr theol. The doctorate is awarded by
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Public Health and Epidemiology as well as in the medical curriculum (MeCuM). It will also be involved in the specialist training programme for Public Health physicians. The LMU offers an excellent