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German Cancer Research Center (DKFZ) Heidelberg • | Heidelberg, Baden W rttemberg | Germany | about 8 hours ago
Heidelberg Teaching language English Languages Working language: English Full-time / part-time full-time Programme duration 6 semesters Beginning Only for doctoral programmes: any time Additional information
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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
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language. Full-time / part-time full-time Mode of study Fully on-site with voluntary online elements Programme duration 6 semesters Beginning Winter and summer semester Application deadline For the summer
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Degree Dr rer nat Course location Regensburg Teaching language German English Languages Participants can choose to write the PhD thesis in German or English. Programme duration 6 semesters Beginning
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profile: • Very good degree (Master or Diploma) in aerospace engineering, mechanical engineering, computer science or a comparable field. • Experience in machine elements, structural analysis, fault
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Studies Sports Science Psychology Engineering Sciences Civil and Environmental Engineering Mechanical Engineering Electrical Engineering & Information Technology Faculty of Computer Science Natural & Life
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cooperation in the training of young neuroscientists. The IMPRS Mechanisms of Mental Function and Dysfunction (MMFD) offers a PhD programme for outstanding MSc graduates. For detailed information, please visit
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Degree Dr rer nat (Doctor of natural sciences) Course location Münster Teaching language English Languages Courses are held in English. Mode of study Less than 50% online Programme duration 6
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are held in English. The dissertation has to be written in English. Programme duration 8 semesters Beginning Winter semester Application deadline The application deadline is usually in mid-January. Please
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degree in a technical field (mechanical engineering, mechatronics, robotics, electrical engineering, computer science, etc.) -Know-How from lectures in robotics (e.g. environment perception, path and