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: An interesting and challenging job in an international and dynamic team at TUM's Garching site Flexible working hours Individual opportunities for further training Employment in accordance with the collective wage
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all over Germany join forces to integrate a thermodynamic description into the processes understanding of soil systems and gain insights into how energy and matter fluxes drive organic carbon dynamics
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Analyzer and Sorter, single-cell mRNA-sequencing etc.) • A cutting-edge highly funded research project in immunology (ERC-CoG funded lab) • A highly dynamic international young team in a thriving research
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at young adults. In addition, they will be supported in shaping the direction of their own research. The doctoral scholar will be part of a dynamic international team at the Institute for Ethics and History
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for personal and professional development. • Social activities organized by colleagues, such as excursions, a Christmas party, and summer barbecues. • An inspiring and pleasant working atmosphere in a dynamic
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, xylem sap flow as well as soil, mycorrhizal and anatomical analyses. Your profile We are looking for a dynamic, reliable and highly motivated candidate with a Master's degree in Biology, Ecology, Forestry
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, University of Galway), Africa and the Americas. The Chair of Livestock Systems is newly established at TUM includes one postdoc, two PhD students, visiting researchers and technical staff. The team involves a
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immunology and eager to work on a dynamic project, we encourage you to apply. Contact: Prof. Dr. Marc Schmidt-Supprian marc.supprian@tum.de Tel.: 089-4140-4104 Klinikum rechts der Isar Technische Universität
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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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positions will be part of a dynamic and collaborative team that conducts cutting-edge Data Science research and will provide opportunities to work with leading experts in the field of Responsible Data Science