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02.05.2022, Wissenschaftliches Personal Join the team of Prof. Karen Alim at the TUM Campus Garching to investigate how the complex organism-scale behaviour in the slime mould Physarum
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position is part of a large cooperation project with partners from industry and academia. The candidate will measure and model data on the reaction kinetics and mass transfer in reactive chemical systems. A
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, metal physics, or a similar degree Experience in software engineering (incl. high-throughput computing) Knowledge in the field of materials engineering of metals and materials modelling (i.e. CALPHAD
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to study translational aspects of cancer (single-cell sequencing of immune cells, organoid co-cultures, cellular engineering via CRISPR/Cas9 technology, in vivo imaging, advanced animal models of allo-SCT
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Max Planck Institute for Plant Breeding Research • | Koln, Nordrhein Westfalen | Germany | 2 days ago
sciences with expertise in molecular plant genetics, plant biochemistry, cell biology, bioinformatics, and mathematical modelling of biological processes. Details can be found at: http://www.mpipz.mpg.de
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deep networks for solving inverse problems, learning robust models from few and noisy samples, and DNA data storage. We are seeking a researcher to join our team in an ERC project on DNA data storage
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of specialization include: Web Application Engineering Model-based Systems Engineering AI for Software Engineering Software Engineering for ML Big Data Architectures Cloud Architectures Contribution to Software
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. The position is hosted at the Chair for Algorithms and Complexity, headed by Prof. Susanne Albers (http://wwwalbers.in.tum.de/index.html.en). The dissertation work will involve research in the fields
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society and sets new standards for the qualification of young academics. Digital platform ecosystems form the foundation for fundamentally novel data and knowledge-intensive business models, requiring
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, immunomodulation, and anti-infectives. Integrative Biology The integrative biology section aims at a cross-taxon approach to the understanding of complex biological phenomena and integrates all levels of biological