43 parallel-and-distributed-computing PhD positions at Technical University of Munich in Germany
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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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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
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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
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new standards in computational metabolomics – facilitating biomarker discovery, advancing personalized health monitoring, and improving clinical decision-making. The work will be carried out under close
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19.05.2025, Wissenschaftliches Personal The Chair of Agrimechatronics at Technical University of Munich (TUM) invites for applications for the position of a Research Associate (Doctoral Student). M/F/D. Applications from disabled persons with essentially the same qualifications will be given...
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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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Nemetschek Institute of Artificial Intelligence for the Built World and conducted in collaboration with a range of other TUM chairs from the Geodesy and Computer Sciences domains. Tasks Your duties will
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and an extensive server infrastructure for research Excellent training and career support opportunities (courses, personal coaching, ...) Your qualifications Master’s degree in Computer
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infrastructure for research Excellent training and career support opportunities (courses, personal coaching, ...) Your qualifications Master’s degree in Computer Science or a similar field Good theoretical
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or computational science Strong mathematical skills and interest in developing new mathematical methods Good knowledge of mathematical/numerical optimization methods or deep learning methods Enthusiasm