88 computer-"https:"-"APOS-UFFICIO-CONCORSI-DOCENTI" "https:" "https:" "https:" positions at Technical University of Munich
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of distributed computing, machine learning, image and text analysis, randomized data structures, high-performance computing, and quantum algorithms. Beyond this research, we aim to support computational thinking
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organoid-based research. For more information go to: https://www.bauschlab.org Your Qualification: High motivation, curiosity, and commitment to scientific excellence PhD in stem cell biology, developmental
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Profile The ideal applicant has a strong background in bioinformatics or computational chemistry, as well as data analysis and solid English-language skills. Experience with programming is highly
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supporting multiple sensors (LiDAR, radar, camera) for dynamic environments like ports, airports, and logistics hubs. Optimize algorithms for real-time operation on edge devices with limited computational
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work at international conferences, and publish in leading journals. Through its Graduate Centre and Talent Factory, TUM supports PhD students and Postdocs by providing a dedicated qualification program
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the Doctoral Program at TUM and must not already hold a doctoral degree. Academic background: Master of Science (MSc) in Industrial Engineering and Management, Robotics, Engineering, specializing in Systems
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biomolecular structure, dynamics, and interactions in complex environments and live mammalian cells. By combining ultra-high-field NMR with complementary biochemical, computational, and cellular approaches
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participate in the Doctoral Program of the TUM School of Management • Support and collaborate on third-party funded research projects Your profile... • Completed (or close to completing) a Master’s degree or
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. In the ELUD research project, we address the question of if and when learning agents converge to an efficient equilibrium and when this is not the case. ELUD will design new algorithms for computing
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earliest starting date is February 1, 2026. The successful candidate will be enrolled in the doctoral program of the Technical University of Munich. You can expect a dynamic and flexible work