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Degree PhD; Dr rer nat; Dr rer biol hum; Dr med Course location München In cooperation with Stiftung Patient & Klinische Pharmazie Teaching language German English Languages The programme is mainly
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quantum computing as well as experience with cryogenics, signal delivery, microfabrication, materials optimization, and microwave control are highly preferred qualifications Please feel free to apply
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offering PhD positions for students with a background in data science, computer science, computational science, or a domain science with a strong focus on computational science, and an interest in training
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Description The joint CiM-IMPRS graduate program of the International Max Planck Research School - Molecular Biomedicine and Münster’s Cells in Motion Interfaculty Centre offers positions to pursue
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Degree PhD Medical Research – International Health Course location München Teaching language English Languages Courses are held in English only. PhD theses are written in English only. Programme
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programme activities are conducted in English. Subsidised German language classes are offered. Full-time / part-time full-time Programme duration 8 semesters Beginning Winter semester Additional information
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Carl von Ossietzky University of Oldenburg • | Oldenburg Oldenburg, Niedersachsen | Germany | about 3 hours ago
strategies for their present and future careers in science and enterprises. The core of the programme is an independent doctoral research project in one of the participating research groups. In
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Degree Doctoral degree Course location Bielefeld Teaching language English Languages Courses for doctoral students are usually held in English. Programme duration 6 semesters Beginning Only
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Universität Leuphana Institut für Management, Accounting & Finance Prof. Dr. Patrick Velte Address StreetUniversitätsallee 1Zipcode21335CityLüneburg Contact details Tel:04131-677-2117 E-Mail: accounting
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Leibniz Institute of Plant Biochemistry (IPB) in Halle (Saale), Germany, where we are offering a fully-funded PhD position within the DFG Priority Programme SPP2363: “Molecular Machine Learning”. About the