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made from magnetoelectric materials, which transduce wireless magnetic powering signals into local electric signals that can be used to stimulate neurons. Our multidisciplinary group works in materials
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understanding of the processes determing grasslands productivity, nutrient cycling and those leading to grassland soil degradation. • Experience in conducting experiments (field and laboratory). Experience
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19.07.2022, Wissenschaftliches Personal The Machine Learning and Information Processing group at TUM works in the intersection of machine learning and signal/information processing with a current
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grasslands. What we expect from you • University degree (M.Sc.) and Ph.D. in Agricultural Science, Biology, Ecology, Environmental Science or a related field. • Thorough understanding of the processes
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to control of infection. The focus of the project is on virus-specific CD8 T cells and the local hepatic regulation of their effector functions through environmental and cytokine-induced signals. The AG