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%, 3-4 years) on Foundation Models and/or Deep Learning for Imaging Problems. The Professorship for Machine Learning at TUM works on machine learning, artificial intelligence, and information processing
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, ensuring readiness for real space missions. • Analyze and publish research results in Q1 international journals and conferences to contribute to both the research community and industry. Our offer: We offer
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03.04.2024, Wissenschaftliches Personal PhD in Green Industrial Policy Design (m / f / d) at the TUM School of Social Sciences and Technology, Professorship for Public Policy for the Green
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25.03.2024, Wissenschaftliches Personal We are searching for motivated personnell (PhD, postdoc) with mathematics or informatics background. You will be working in the FAIRmat project (a NFDI
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software and hardware industry Motivated to work in a team and contribute to a significant scientific project Tasks Fine-tuning LLMs for automated software requirements extraction Fine-tuning LLMs
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diversity, and study environment. Joint PhD with the KU Leuven. Project part of the EU project VAMOR, and in close collaboration with the industry, with the company MUELLER-BBM Industry Solutions GMBH. Ample
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deactivation processes. These enzyme-polymer systems will then be coupled to microbial organisms, in collaboration with academic and industrial partners in Europe, to achieve sustainable chemical transformations
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of Data Generation using advanced AI technologies such as generative AI models. This research project will address pertinent challenges in various data-centric and regulated applications. PhD Position in
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gears. Our research projects range from theoretical basic work to very application-oriented experimental work - often in cooperation with worldwide industrial partners. Our key research fields include
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), E13. Access to a modern and international workplace with a close connection to the research institute and aerospace industry in the Munich “Space Valley”. Main workplace will be the new campus in