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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
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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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01.09.2022, Wissenschaftliches Personal The Trustworthy and Privacy-Preserving AI Group at the Institute for AI in Medicine is offering a PhD candidate position (TV-L E13, 100% for 3 years) in
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Munich in Germany and invites applications for a PhD position (m/f/d) on the experimental realization of superconducting microwave single-photon detector. The position is offered in a multidisciplinary
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deadline The application deadline has not yet been determined. Please check our website (www.ec2-big-nse.de ). Tuition fees per semester in EUR None Combined Master's degree / PhD programme No Joint degree
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January for the winter semester: 15 June Tuition fees per semester in EUR None Combined Master's degree / PhD programme No Joint degree / double degree programme Yes Description/content The PhD programme in
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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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Max Planck Institute for Plant Breeding Research • | Koln, Nordrhein Westfalen | Germany | about 18 hours ago
found on our website. Tuition fees per semester in EUR None Combined Master's degree / PhD programme No Joint degree / double degree programme No Description/content The IMPRS on Interdisciplinary Plant
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, economics and communication science , setting itself apart from other research clusters on digital platforms. Course organisation In concert with the research programme , the qualification concept
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technical field (mechanical engineering, mechatronics, robotics, electrical engineering, computer science, etc.) -Know-How from lectures in robotics (e.g. environment perception, path and behavior planning