51 algorithm-development-"St"-"St" PhD scholarships at Technical University of Munich
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03.06.2021, Wissenschaftliches Personal The Albarqouni lab develops innovative deep Federated Learning (FL) algorithms that can distill and share the knowledge among AI agents in a robust and
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about making Artificial Intelligence (AI) in medicine transparent, trustworthy, and clinically relevant? Join the VIOLET Project: a pioneering research initiative to develop an explainable and
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manufacturing", new AI methods for predicting the outcome of AM printing processes under varying bounding conditions are developed. This involves the design of a cyber-physical system incl. a data management
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. The project focuses on developing information theory, coding schemes, and other algorithmic methods for DNA data storage. Here is a video on the topic: https://www.bbc.com/future/article/20151122-this-is-how
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12.11.2025, Wissenschaftliches Personal Join our team in a collaboration between TUM and Politecnico di Milano! Develop cutting-edge methods combining remote sensing, physics-based modeling, and
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. To this end, methods are first to be developed and established. Your Profile You ideally bring the following with you: • Excellent master's degree in food chemistry, food technology, biochemistry, biophysics
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use of the structural information for structure-based ligand design projects in order to develop prediction methods to identify new food ingredients and flavor modulators. Key Responsibilities • AI
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scientists and development economists. Our main research aims are to design and evaluate strategies to improve the quality and use of preventive health care services in low- and middle-income countries. We
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, transcriptomic, and proteomic approaches. In parallel, engineered Aspergillus niger strains will be developed for the sustainable production of selected pigments as dyes, which will be further scaled up
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13.11.2025, Wissenschaftliches Personal Join the team of Prof. Stephen Schrettl at the TUM Campus Weihenstephan to develop stimuli-responsive thermoplastic elastomers using supramolecular