41 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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31.01.2025, Wissenschaftliches Personal We have two open PhD positions funded by the Marie Skłodowska-Curie Actions (MSCA), the European Union’s flagship program for doctoral education. About us
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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
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19 Feb 2025 Job Information Organisation/Company Technical University of Munich Department Computer Science Research Field Computer science Researcher Profile First Stage Researcher (R1) Positions
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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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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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15.04.2025, Wissenschaftliches Personal The Lab for Artificial Intelligence in Medical Imaging (www.ai-med.de) is inviting applications for a fully funded PhD position in interpretable machine learning for dementia prediction. see here:...
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05.02.2025, Wissenschaftliches Personal PhD position (E13) is available at the Department of Computer Science a the TUM focusing on online learning and game theory. Text in English and German (below
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privacy-preserved fashion. Research topics include, but not limited to, i) handling distributed DL models with data heterogeneity including non i.i.d, and domain shifts, ii) developing explainability and