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TRON – Translational Oncology at the University Medical Center of the Johannes Gutenberg University Mainz • | Mainz, Rheinland Pfalz | Germany | 1 day ago
contract with BioNTech or TRON. Academic admission requirements A Master’s degree in biology, biochemistry, chemistry, life science, medicine, immunology, computer science, engineering or related fields from
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Brandenburg University of Technology Cottbus-Senftenberg • | Cottbus, Brandenburg | Germany | about 14 hours ago
The PhD programme is open to national and international students who hold a Master's degree or equivalent in Environmental Science, Environmental Engineering, Environmental Economics, Environmental
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, physics, and chemical engineering sciences to cultural heritage. A strong emphasis is placed on the mathematical and computational foundations, encompassing theoretical underpinnings and computational
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-prüfung), German Electron Synchrotron (DESY Deutsches Elektronen-Synchroton), Hamburg University of Technology (TU Hamburg), Helmut Schmidt University of the German Federal Army (Helmut-Schmidt-Universität
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for PhD candidates as well as an outstanding research-based training programme, preparing students for a career in academia, science management, or industry. Each PhD candidate is affiliated with one
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-class teaching and research in medicine and STEM . Its more than 10,000 students are distributed among the faculties of medicine, engineering, computer science and psychology, mathematics and economics as
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Brain Research German Center for Neurodegenerative Diseases Werner Reichardt Centre for Integrative Neuroscience Teaching language English Languages English Full-time / part-time full-time Programme
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thesis may be conducted in German. Full-time / part-time full-time part-time (study alongside work) Programme duration 9 semesters or more Beginning Winter semester Additional information on beginning
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mathematics, (theoretical) computer science, machine learning foundations, electrical engineering, information theory, cryptography, statistics or a related field. - Advanced knowledge of probability theory
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: M.Sc. in Computer Science, Machine Learning, or equivalent with interest in Medical Imaging and Deep Learning. Strong knowledge in Machine/Deep Learning with experience in discriminative models