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, C.S. (2021). Mapping and engineering of auxin-induced plasma membrane dissociation in BRX family proteins. Plant Cell 33, 1945-1960. Marhava, P., Bassukas, A.E.L., Zourelidou, M., Kolb, M., Moret, B
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07.01.2025, Wissenschaftliches Personal You’re interested in digging deeper into how the storage and the turnover of soil carbon is fundamentally influenced by carbon and energy fluxes and passionate about creating a pioneering map where calories are located and microbially transformed in a soil...
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companies from all over the world, especially the USA, the UK, and Germany. Your Profile: Excellent university degree in engineering, chemistry, materials science, physics, electrochemistry or a similar
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for food applications, through high-performance microbial bioprocesses (“precision fermentation”) and tissue-engineered cultured meat from animal cells. Requirements We are looking for applicants with a
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world. The workflow spans from analytical chemistry to material science and engineering. There is no need for previous knowledge in the described fields but a strong motivation to learn and push the boundaries of our
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21.10.2021, Wissenschaftliches Personal PhD Position at TUM Department of Science, Technology & Society (65% for 3 years) within a DFG-funded research project led by Dr. Susanne Koch and affiliated
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of Treg identity and function in autoimmune contexts • study how context-specific cytokine milieus affect Treg identity as well as plasticity and functionally validate engineered Treg cells with distinct
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immunotherapies by macrophage and T-cell engineering approaches, (iii) induce tissue regeneration and graft-versus-leukemia via activation or inhibition of innate immune pathways during allogeneic hematopoetic stem
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degree in a technical field (mechanical engineering, mechatronics, robotics, electrical engineering, computer science, etc.) -Know-How from lectures in robotics (e.g. environment perception, path and
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technical field (mechanical engineering, mechatronics, robotics, electrical engineering, computer science, etc.) -Know-How from lectures in robotics (e.g. environment perception, path and behavior planning