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Max Planck Institute for Social Anthropology, Halle (Saale) | Halle, Sachsen Anhalt | Germany | 25 days ago
doctoral candidates in the final stage of their programme to spend up to 4 months at the Institute to take advantage of its resources while finalizing their dissertations. The topic must be of immediate
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management Your profile you have a university degree (university of applied sciences) or completed vocational training including professional experience in the field of mechatronics with a focus on electrical
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conferences Requirements: a university degree in the field of computer science, data science, computational modeling or related subjects in combination with civil engineering, transport engineering a strong
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Science or German Diplom, preferably in biology, chemistry/biochemistry, psychology, medicine, physics, engineering, or informatics neuroscientific knowledge and interest in an interdisciplinary research
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fields such as immunology, genetics, epigenetics, molecular biology or biochemistry. An interest in research using mice as animal models. A high degree of scientific curiosity, creativity, flexibility, and
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Engineering, Computer Engineering, Computer Science, or a closely related field Strong background in robotics fundamentals: kinematics, dynamics, control, planning Proficiency in programming (C++, Python), and
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deadline You can apply any time. Tuition fees per semester in EUR None Combined Master's degree / PhD programme No Joint degree / double degree programme No Description/content Auditory Sciences: Physics and
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would be considered a strong asset Candidates with expertise in human induced pluripotent stem cell (iPSC) technology - particularly in differentiating iPSCs into neurons or microglia - and/or proficiency
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Languages The general working language in the Berlin School of Economics is English. All courses are held in English. Full-time / part-time full-time Programme duration 8 semesters Beginning Winter semester
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Max Planck Institute for Intelligent Systems, Tübingen site, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | 3 months ago
. Degree in Computer Science, IT, or a related field, or equivalent experience. Preferred: Familiarity with parallel computing, job schedulers, and high-speed networking. Experience with storage technologies