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companies from all over the world, especially the USA, the UK, and Germany. Your Profile: - Ph.D. in chemistry, material science, engineering, physics, or a closely-related field - Knowledge in material
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for inverse problems or machine learning more broadly. We are looking for candidates with strong mathematical skills and interests. A requirement for the position is a master’s degree in electrical engineering
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the robotics community. Requirements Please consider applying if you have a strong background in robotics, mechatronics, and control engineering. We especially seek individuals with excellent background in
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22.04.2022, Wissenschaftliches Personal The Professorship for Environmental Sensing and Modeling at the Faculty of Electrical Engineering and Information Technology is researching topics
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ambitious efforts for enabling quantum technology in Europe To apply Please send us your application by e-mail (christian.mendl@tum.de ) with the following documents: Curriculum vitae, copies of relevant
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PhD/Postdoc position in trustworthy data-driven control and networked AI for rehabilitation robotics
-robot-teams, haptic assistance, cyber-physical systems, and infrastructure systems. While our core competence is control engineering, we have some interdisciplinary collaborations with the fields
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with the German Aerospace Center’s Remote Sensing Technology Institute, has created the biggest European research team on AI for Earth Observation (AI4EO) over the past few years. Starting in 2022, we will
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06.09.2021, Wissenschaftliches Personal The Institute for Communications Engineering is currently offering seven positions for PhD or postdoctoral candidates for the project "6G-life" which is
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- PhD student in quantitative verification interested in co-developing Automata Tutor - main developer of Automata Tutor Positions in the Formal Methods for Software Reliability group of TU Munich led by
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) for the Information Service Engineering department (ISE) in Karlsruhe startingOctober 1, 2025. The ISE department, led by Prof. Dr. Harald Sack, investigates models and methods for efficient semantic indexing