21 process-engineering-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" Postdoctoral positions at Technical University of Munich
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Data Protection Regulation (GDPR) regarding the collection and processing of personal data in the context of your application process: https://portal.mytum.de/kompass/datenschutz/Bewerbung/ By submitting
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strong programming skills, particularly in Python, are essential. Experience in timber engineering, geometry processing, and robotic fabrication is highly desirable. Excellent written and spoken English
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The Munich School of Politics and Public Policy (HfP) combines excellence in political science with a commitment to dialogue between politics, society, business, and technology. As an institution affiliated
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environments, approaches related questions in an interdisciplinary manner (i.e., at the intersection of psychology, technology, and human–computer interaction). We welcome candidates with a strong interest in
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19.07.2022, Academic staff The Machine Learning and Information Processing group at TUM works in the intersection of machine learning and signal/information processing with a current focus on deep
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technology, optics, mechatronics, computer engineering, or a related discipline. Strong motivation, scientific curiosity, and commitment to scientific excellence. Experience in one or more of the following
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discipline (e.g. Environmental Engineering). Experience in economic and interdisciplinary modelling, sectoral and integrated assessment, or policy-oriented simulation of climate, natural resource, and agri
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to the research and development of dexterous end effectors for a new 6G-based teleoperated surgical robotics system. This position stems out of the large scale 6G-Life project (https://6g-life.de/) and will give
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invasive in blood biomarker detection. In collaboration with our partners at the Karlsruhe Institute of Technology (KIT), you will develop data analysis pipelines as well as signal processing and inference
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of miniaturized imaging technologies. Your Profile: The successful applicant must have the following: • Ph.D. in natural sciences, electrical engineering, physics, optics, medical technology, biomedical computing