32 web-programmer-developer-"LIST"-"https:"-"https:"-"https:" PhD positions at Technical University of Munich
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reinforcement learning methods can be used to solve multiobjective discrete and combinatorial optimization problems. The goal is to develop new algorithmic approaches that combine ideas from machine learning
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22.01.2026, Academic staff This PhD position focuses on developing resilient ISAC architectures. This project aims to implement, test, and demonstrate resilience strategies that enhance ISAC system
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23.01.2026, Academic staff The Chair of Structural Analysis is seeking a highly motivated research associate (m/f/d) for our research project focused on developing methodologies for high fidelity
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) to work on the development of an Amazonian Early Warning System (AmEWS) integrating Earth Observation data, process-based ecosystem models, and advanced machine learning approaches. The position is embedded
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. This will largely advance our still limited knowledge on the intricate mechanisms of CHC perception in particular and on speciation mechanisms mediated by chemosensory evolution in general. The successful
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University of São Paulo, Brazil. This position focuses on developing advanced computer vision methods and hardware setup for detecting and predicting plant diseases in soybean cultivation. About Us The Chair
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–2 years, total 3–4 years) on deep learning for medical imaging. This DFG-funded project focuses on developing deep learning methods for medical and scientific imaging. The Professorship for Machine
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work at the interface of artificial intelligence, materials science, and sustainable chemistry to develop new approaches for the recovery of rare earth elements. Rare earth elements are essential
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13.11.2025, Academic staff Join the team of Prof. Stephen Schrettl at the TUM Campus Weihenstephan to develop stimuli-responsive thermoplastic elastomers using supramolecular interactions. We
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funded by the university with excellent opportunities for both research and career development. The newly established research group in Particle and Fiber Technology for bio-based Materials, led by Prof