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interdisciplinary training for PhD students. The programme supports you in pursuing innovative PhD projects with a strong application-oriented focus, ranging from mathematics, computer science, bio/life sciences
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of academic focus lie in the humanities, social sciences, economics, business administration and human sciences. These are rounded out by numerous programmes in application-oriented computer science
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German Cancer Research Center (DKFZ) Heidelberg • | Heidelberg, Baden W rttemberg | Germany | about 16 hours ago
research. DKFZ PhD students receive a doctoral degree from the Biosciences, Medical, or Physics Faculty of the prestigious University of Heidelberg, the oldest university in Germany. The DKFZ is Germany’s
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Degree PhD/Dr rer nat/Dr rer medic/Dr-Ing Course location Dresden In cooperation with International Max Planck Research School for Cell, Developmental and Systems Biology (IMPRS-CellDevoSys) under
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Brandenburg University of Technology Cottbus-Senftenberg • | Cottbus, Brandenburg | Germany | about 16 hours ago
): 250 to 450 EUR groceries: approx. 160 to 180 EUR health insurance, medical fees, medication: approx. 145 EUR miscellaneous (clothing, study materials, other activities): 170 to 220 EUR Total: 780
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, broadcasting fee: 29 EUR Clothing, laundry, personal hygiene: 40 EUR Learning materials (books, copies): 28 EUR Medical care, medicine: 97 EUR Leisure time, culture, and sports: 60 EUR Health/nursing care
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information flow. Understanding these attributes is critical for the responsible application of such models to medical settings. Your Qualifications: - Holding an excellent MSc in the field of pure or applied
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, computational biology, computer science, epidemiology/public health studies and related subjects are invited to apply for the international PhD programme. PhD students are supported by a Thesis Advisory Committee
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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
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journals. Close collaboration with team members and colleagues. Essential qualifications: M.Sc. in Computer Science, Machine Learning, or equivalent with interest in Medical Imaging and Deep Learning. Strong