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Field
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Systems and Design Technology in Berlin has stood for excellence in production science. We are dedicated to combining science and practice in the field of industrial production and offer application
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programming language. Fluency in English (written and spoken). The ability to work in a team. For further information, please contact Prof. Dr. Fabian Hoffmann (f.hoffmann@fu-berlin.de ). Applications should be
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State programme promoting young researchers (Tenure-Track Programme). The professorship is affiliated with the department of Medical Systems Biology (https://www.med.uni-wuerzburg.de/en/systemimmunologie
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. This includes defining novel programming methods and compiler infrastructures to deploy reactive applications that execute close or at sensing nodes in cyber-physical systems (CPS). We built on prior work on MLIR
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electronic systems are programmed. This includes defining novel programming methods and compiler infrastructures to deploy reactive applications that execute close or at sensing nodes in cyber-physical systems
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and allow room for diversity. We offer attractive sport and health programs and after-work activities. Appointment, remuneration and social security benefits based on the public-sector collective wage
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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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structured onboarding programme Individual and extensive training opportunities and career boosters for your professional and personal development, e.g. opportunities for a doctorate or participation in
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topic Prior programming experience in Python is a must, C++ and CUDA experience are a plus Familiarity with PyTorch and modern deep learning frameworks Experience in training and evaluating computer
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• Programming skills, especially in the field of scientific computing and data analysis and web presences • Knowledge of data processing, network architectures and operating system environments. • Good knowledge