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06.05.2024, Wissenschaftliches Personal The Leibniz Institute for Food Systems Biology at the Technical University of Munich (Leibniz- LSB@TUM) is a research institution of the Leibniz Association
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qualifications: • A solid background in bioinformatics, mathematics, computer science, computational biology or similar fields. • A good understanding of basic immunology as well as T cell and TCR biology will be
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abilities into the long-term development of the professorship. Ideally, you are already knowledge-able in the fields of life cycle assessment, simulation, mathematical optimization, and / or material flow
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://www1.ls.tum.de/en/pp/research-divisions/ and https://trr356plantmicrobe.de/). Possible research areas are to develop, improve and apply quantitative cell biology techniques in crops to study molecular
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various backgrounds. These backgrounds may include but are not limited to: computational chemistry, computer science, applied mathematics, computational biology, bioinformatics, and many other subjects
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into the Bavarian NMR Center (www.bnmrz.org) at the Technical University Munich, and is associated with the Institute of Structural Biology (www.helmholtz-munich.de/en/stb) at the Helmholtz-Zentrum München (HMGU
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, Mathematical modelling, Biology, Environmental Science, Physical Geography, or related fields. • Specific research in agricultural-environmental disciplines, and particularly with respect to livestock
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analysis techniques and physical/mathematical models to drive our development of dedicated algorithms with a focus on time-series analysis in imaging. The Chair of Biological Imaging (CBI) at the Technical
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Master’s degree in biotechnology, bioengineering, bioeconomy cell biology, molecular biology, or a comparable field of study, preferably with a background in life cycle assessment (LCA) and techno-economic
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candidate, you have an outstanding Master's degree or comparable degree in biology, physics, applied mathematics or related disciplines. As an experimental candidate you have experience in biological systems