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19.04.2024, Wissenschaftliches Personal The Professorship of Machine Learning at the Department of Computer Engineering at TUM has open positions for a doctoral researcher (TV-L E13 100%, 3-4 years
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23.04.2024, Wissenschaftliches Personal We are offering one PhD position to a highly motivated student focusing on the interconnections between biophonic and anthrophonic sounds and environmental features with an emphasis on vegetation complexity, urban infrastructure, and bird diversity. The...
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for analyzing brain activity. Chair for AI in Healthcare and Medicine (AIM lab) Institute for AI and Informatics in Medicine Klinikum rechts der Isar & Technical University of Munich (TUM) The lab for Artificial
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optics, physics, electrical engineering, medical technology, biomedical engineering or a related discipline. • Experiences in optics, imaging techniques, and/or setup related electronics • Practical
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environment. What we offer - Working in a highly educated and international environment. - Insight into top level medical, AI and data engineering research. - The position is to start on 01.04.2024. - Personal
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13.03.2024, Wissenschaftliches Personal The EQUA Endowed Chair for Family Business Culture and Ownership at TUM School of Management is offering a PhD position on the broad topics of responsibility and branding, which can be tailored to the individual research interests and expertise of the...
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inflammation, a major human non-communicable disease constantly on the rise, by shaping Treg development, identity and functionality. Your profile - University degree (M.Sc.) in Immunology, Biology, Molecular
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for clinical use. The Chair of Biological Imaging (CBI) at the Technical University of Munich (TUM) and the Institute of Biological and Medical Imaging (IBMI) at Helmholtz Munich are an integrated, multi
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information flow. Understanding these attributes is critical for the responsible application of such models to medical settings. Your Qualifications: - Holding an excellent MSc in the field of pure or applied
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matter physics, biomedical/material engineering or a related discipline. You have a strong background in data analysis and image processing. You enjoy working in interdisciplinary and international teams