44 approximation-theory-math PhD positions at Technical University of Munich in Germany
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motivated colleagues who are passionate about machine learning, optimization, and game theory. - an attractive work environment both within the research group and beyond. For further information concerning
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application from qualified women. About the position The position involves both teaching and engaging in innovative research projects on tractor autonomy, path-planning algorithms, soil compaction modeling, and
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applications from 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
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research on augmented and virtual reality in operations and supply chains. About us Our team publishes research in top-tier journals like Manufacturing & Service Operations Management, Production and
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application from qualified women. About the position The position involves both teaching and engaging in innovative research projects on tractor autonomy, path-planning algorithms, soil compaction modeling, and
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of Munich PhD Candidate (w/m/d) About us The Chair for Ethics of Artificial Intelligence and Neuroscience is situated at the Institute for the History and Ethics of Medicine in the School of Medicine
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will be responsible for developing solutions in terms of methodology (theory) and implementation (application) of the new approach. Coordination of the cooperation with the project partners Publication
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collaborative research projects, which deal with the development of optimization methods for geothermal systems. You will be responsible for developing solutions in terms of methodology (theory) and
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general. We are particularly interested in candidates who are passionate about data science and its applications to address the social and ethical challenges for the responsible and trustworthy application
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06.10.2023, Wissenschaftliches Personal The PhD position is on safety verification of Cyber-Physical Systems at the intersection between control theory and machine learning. The position is full