36 embedded-system-"https:"-"https:"-"https:"-"https:"-"UCL" PhD positions at Technical University of Munich
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renewable energy systems, electric vehicles, and digital electronics, yet their supply chains are fragile, and recycling rates remain low. Developing efficient and selective separation technologies is
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13.03.2026, Academic staff A fully funded PhD position (initially 75% TV-L E13, increasing to 100% TV-L E13 after 8 months) is available at the Professorship of Optimization and Sustainable Decision
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Remote Robot Control”. About us The TUM Munich Institute of Robotics and Machine Intelligence (MIRMI) is a globally visible, interdisciplinary research center dedicated to machine intelligence
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, which provide bioengineering solutions to urgent societal needs. IBMI scientists develop next-generation imaging and sensing methods to measure previously inaccessible properties of living systems, hence
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alloys. The project is a 3-years funded DFG position. Central to this project is the usage of coherent synchrotron scattering to track transport and structural dynamics in metallic glass. The objective is
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of the proteins to advance the photophysical research on (photoswitching) proteins developed in the laboratory. The lab The Stiel Lab is one of the laboratories at the Institute for Biological and Medical Imaging
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12.01.2026, Academic staff The Professorship of Machine Learning at the Department of Computer Engineering at TUM has an open position for a doctoral researcher (TV-L E13 100%; initial contract 1.5
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12.01.2026, Academic staff The Professorship of Machine Learning at the Department of Computer Engineering at TUM has an open position for a doctoral researcher (TV-L E13 100%; initial contract 1.5
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to advance the potential of biopolymers in various applications. Project description Cellulose is the most abundant biopolymer on earth and offers significant potential for applications such as sustainable
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02.02.2026, Academic staff The newly established research group in Particle and Fiber Technology for bio-based Materials, led by Prof. Dr. Wenwen Fang, is seeking a highly motivated PhD in