23 algorithm-development-"Prof"-"Prof" PhD scholarships at Technical University of Munich in Germany
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its rich information content, conventional analysis methods have not yet fully realized its potential. This research project aims to develop a robust AI foundation model based on modern Transformer
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RAICAM aims to train a cohort of 10 PhD students to work on the next generation of mobile robots for inspection and maintenance of industrial facilities. RAICAM will develop a multi-domain, multi-agent
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/Materials Science funded by ERC StG with excellent opportunities for both research and career development. About us Our research focuses on extracting and isolating bio-based polymers such as cellulose and
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to be developed. One promising research direction is the use of physics-informed deep learning, such as physics-informed neural networks or deep neural operator networks. Tasks: Work in a team on national
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differential equations (PDE) in the model to describe either environmental influences or a more detailed component behavior offers a possible solution to this challenge. The goal of the project is to develop
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PhD position in interpretable machine learning for dementia prediction. The project focuses on developing interpretable deep learning models for dementia prediction using multi-modal data, including MRI
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Freising-Weihenstephan. - Polarity regulation by protein kinases during stomata development - Phospho-regulation of the plant cytoskeleton - Developmental adaptations for plant growth in soil. We seek highly
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scale Research budget for conference attendance and professional development. Opportunities to collaborate with leading industry partners. Access to world-class academic resources. Application Process
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Research (BMBF), who funds scientific projects to analyze biodiversity in Germany and to develop and implement innovative, effective measures to protect and improve biodiversity. The position is suitable
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. The main focus is developing and characterizing metallic high-performance materials for/through additive technologies using experiments and computer-aided methods. Furthermore, the chair is dedicated