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Field
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the faculties of medicine and computer science at TUM, as well as the Munich Center for Machine Learning (MCML). It is a great place for interdisciplinary research between medicine and data science. We
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the subtropics in Latin-America. The research programme will examine productivity of grasslands, nutrient stocks and cycling and their relationship to biodiversity. We conduct experiments in the field
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, computer science, mathematics, physics, or a related field with an outstanding academic record. Interest in mathematical signal processing, optimization, and/or machine learning is important. Since
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of studies, coordination of study implementation, data analysis and interpretation (with a focus on neuroimaging data analysis, usage of AI and/ or computational modeling of psychological processes
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the following areas: PhD in mechanical/electrical engineering, robotics, computer science, or a comparable field, Experience in self-reliant managing of research projects (financial and administrative) and
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engineering, computer science or electrical engineering, with good grades. Experience in scientific work, project proposal writing and team leadership are part of your repertoire. In addition, you are
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, • active involvement in several outreach activities and effective communication (i.e., knowledge transfer) of your research. We look for… • a team player with completed PhD degree (or close to completion) in
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WSI Quantum Sensing Group (Reinhard lab) 23.07.2020, Wissenschaftliches Personal The quantum sensing group at the Walter Schottky Institute of TUM is offering PhD and Postdoc positions to join our
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oral presentations at national and international conferences Your profile PhD in Ecology or a related field Solid background in (macro-) ecology and biodiversity research. Solid background in zoology