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Leibniz-Institute for Food Systems Biology at the Technical University of Munich | Freising, Bayern | Germany | 3 months ago
Association. Our institute integrates cutting-edge biomolecular research, bioinformatics, and high-performance analytical technologies to explore the complex interactions between the human organism and food
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strong analytical and mathematical skills; take part in ongoing educational activities, such as assisting in courses and guiding student theses at the BSc or MSc level; be an active participant in
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demonstrate the ability and eagerness to learn new methods and a strong interest in developing both experimental and analytical skills. On a personal level, we are looking for a collaborative and engaged
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the material in the facility available at Cranfield’s high temperature corrosion laboratory. A detailed analytical phase. for better understanding of the microstructure, requires working on the advanced
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statistics This PhD project falls under the collaboration between Research Thrust RT2 Physics-based models, and Research Thrust RT3 on representation, compression, learning, and inference. For long-distance
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computing and decentralized intelligence where a swarm of nodes learns graph dependencies by effectively integrating the structure of distributed systems into neural network architecture. This approach
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the Leibniz Association. Our institute integrates cutting-edge biomolecular research, bioinformatics, and high-performance analytical technologies to explore the complex interactions between the human
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studies, media studies, anthropology, and/or related disciplines; Familiarity with and keen interest in qualitative research methods; Independent thinking and critical analytical skills; Good collaboration
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perturbation-based GRN inference for single-cell and spatial multi-omics data, to boost GRN quality and add the cell type and tissue heterogeneity dimensions to causal regulatory analysis. A deep learning
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the area of enzyme engineering to the next level, while having a positive impact on our world. When joining our group, you get the opportunity to use the latest algorithms in machine learning for improving