51 verification-computer-science-"Multiple" Postdoctoral positions at Technical University of Munich
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, computer science, mathematics, physics, or a related field with an outstanding academic record. Interest in mathematical signal processing, optimization, and/or machine learning is important. Since
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observations, focusing on indoor environments. Qualifications: • Applicants for a PhD must hold a Master’s degree in computer science or equivalent • Fluent written and spoken English skills • Proficient C
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PhD/Postdoc position in trustworthy data-driven control and networked AI for rehabilitation robotics
control of such systems, taking particularly into account model uncertainties as well as limitations pertaining to acquisition of data, communication, and computation. We apply our methods mainly to human
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, Wissenschaftliches Personal The Livestock Systems research group at the TUM School of Life Sciences is recruiting a postdoctoral researcher (m/f/d) to work on grassland restoration. The aim of our group is to improve
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management, (organizational) psychology, sociology, economics, business informatics, or related subjects, • with a strong passion for entrepreneurship and/or family business research, • with a solid knowledge
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03.04.2024, Wissenschaftliches Personal Postdoc Green Hydrogen Financing (m / f / d) at the TUM School of Social Sciences and Technology, Professorship for Public Policy for the Green Transition
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” at Technical University Munich in the Department of Physics. The position is part of the Focus Group Molecular and Interfacial Engineering of Organic Nanosystems at the Institute for Advanced Study (IAS) headed
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19.09.2023, Wissenschaftliches Personal The Bienert Lab is part of the TUM School of Life Sciences of the Technical University of Munich located in Freising-Weihenstephan. The main objective
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wellbeing. They will use modeling approaches to combine natural and social science data. You will focus on developing and implementing mixed modeling approaches to test pathways through which structure
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PhD degree in biology, physics or a related discipline. You have experience in quantitative biology, experimental soft matter, or experimental biophysics. You enjoy working in interdisciplinary and