86 computer-security-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" positions at Technical University of Munich in Germany
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. The project is jointly supervised by Prof. Dr. Ralf Jänicke (Institute of Applied Mechanics, Technische Universität Braunschweig) and PD Dr. Stefan Kollmannsberger (Chair of Computational Modeling and
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13.02.2026, Academic staff The Imperial College London – Technical University Munich Joint Academy of Doctoral Studies (JADS) is a collaborative doctoral program. Within this program we offer a PhD
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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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master’s degree in mathematics, theoretical computer science, machine learning, or a closely related field. Strong background in discrete optimization, algorithms, or reinforcement learning. Good programming
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adults actively seek, select, and evaluate information to learn about the world. The lab combines behavioral, computational, and cross-cultural approaches to study curiosity, exploration, and reasoning
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present them at international conferences Collaborate closely with researchers at TUM and partner institutions in Brazil Requirements A Master’s degree in physics, computer science, Earth system sciences
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Scientific and operational leadership of the Protein Design Accelerator in the Technology Hub Development and maintenance of computational pipelines and scripts for protein design workflows, including design
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qualified women. About the position The position contains both teaching duties and participation in research projects. The research project topics focus on improving object recognition through computer vision
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Informatics, specifically for a DFG project in wind power forecasting using machine learning. You are passionate about applying cutting-edge information technology to solve the energy and climate crisis and