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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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to an array of exceptional benefits. Benefits eligible employees enjoy a wide array of benefits including comprehensive medical, prescription, dental, and vision insurance as well as a generous retirement
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Brandenburg University of Technology Cottbus-Senftenberg • | Cottbus, Brandenburg | Germany | about 13 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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between the RF signals and hydration levels in human tissue. The outcomes of this research will reduce the impact of dehydration in medical care, with potential applications in sports science, aerospace
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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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to tens of millions of medically relevant records. The Enterprise Data Warehouse (EDW) contains data extracted from many of the institution’s disparate source systems, including patient, visit, clinical
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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