205 computer-security "https:" "https:" "https:" "https:" "https:" "UCL" positions at Technical University of Munich
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Autonomous Challenge or EDGAR . Thereby, we research current problem fields in the areas of perception, planning, control, safety and evaluation. Our goal is always to develop the optimal overall software
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to your application: curriculum vitae, references and certificates, two letters of recommendation and a letter of motivation detailing your fit. Link to online advertisement and application portal: https
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, organization, compression, analysis, and visualization of georeferenced or geometric data in large scales. We put emphasis on methods of distributed computing, machine learning, image and text analysis
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PhD/Postdoc position in trustworthy data-driven control and networked AI for rehabilitation robotics
for sustainability, new concepts for security and solutions for current latencies in communication networks. Find out more about the project under https://6g-life.de/ About us: At the Chair of Information-Oriented
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uncertainties, with a strong focus on safety-critical bilateral teleoperation (e.g., tele-surgery). The doctoral research will focus on the development of fault-tolerant and adaptive control architectures
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(mechanical engineering, mechatronics, robotics, electrical engineering, computer science, etc.) -Know-How from lectures in robotics (e.g. environment perception, path and behavior planning, control) -Very good
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22.12.2025, Academic staff We are an interdisciplinary team at the Chair of Safety, Performance and Reliability for Learning Systems, and we are looking for exceptional postdoctoral researchers
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computers and the ones using them. We are working on a visionary and large-scale ERC Consolidator Grant Project and are a part of the Munich Quantum Valley-Initiative (https://www.munich-quantum-valley.de
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24.02.2022, Academic staff The Munich Quantum Valley aims at developing a full quantum computing stack, from the application level to the physical quantum hardware. Within this interdisciplinary
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are modeled using information theory. We wish to investigate how interleaving can reduce the overhead and computational load due to coding coefficients required in classical linear random network coding