42 parallel-and-distributed-computing PhD positions at Technical University of Munich
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16.08.2023, Wissenschaftliches Personal The Chair of Computational Modeling and Simulation (CMS) at the Technical University of Munich invites applications for the position of a Research Assistant
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political and economic power, geopolitical and distributional conflict, or institutional legacies and influential ideas shape how and which technologies are developed and deployed - and how this in turn
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distribution analysis with collaborators at the University of Ljubljana in Slovenia. Data analysis and manuscript preparation. Presenting results at international conferences. Training Master’s and Bachelor's
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05.06.2025, Wissenschaftliches Personal Are you looking for an opportunity to shape the future of quantum computing? With superconducting quantum computers on the verge, we aim to strengthen our
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computer vision in dusty conditions by incorporating hyperspectral cameras. In addition, assisting in project applications and general development duties of the Chair. The position is available from
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project funded within the DFG Priority Programme “Illuminating Gene Functions in the Human Gut Microbiome” (SPP 2474) and be involved in microbiology and molecular microbiology of the gut microbiota
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insights into the dynamic distribution patterns of human tissue resident T helper cells across space and time. Topic: Dissecting the body-wide spatio-temporal organisation of human resident T helper cells T
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13.02.2025, Wissenschaftliches Personal The Professorship of Machine Learning at the Department of Computer Engineering at TUM has open positions for a doctoral researcher (TV-L E13 100%, 3-4 years
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06.06.2025, Wissenschaftliches Personal We are looking for 1 PhD Position in Robotics and AI to work at the Technical University of Munich (Garching Campus) within this multi-disciplinary cohort. We are looking for 1 PhD Position to work at the Technical University of Munich (Garching Campus)...
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to the computational complexity of climate models, these will be replaced by physics-informed deep learning surrogates in the aforementioned model coupling. The project will initially focus on one main application