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science and economic practice. Please indicate in your cover letter which research area(s) you are interested in. What you bring to the table Enrolled student Ability to work in a team Independent and
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., food processing, bioconversion and fermentation processes) Self-supervised learning for multimodal sensor data (e.g., spectroscopy, hyperspectral imaging, 3D point clouds, and other high-dimensional data
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19.07.2022, Academic staff The Machine Learning and Information Processing group at TUM works in the intersection of machine learning and signal/information processing with a current focus on deep
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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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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 Wohlleber is
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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