14 phd-exercise-science Postdoctoral research jobs at Technical University of Munich in Germany
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cells to interact with their environment. We use an interdisciplinary approach from protein biochemistry to cell biology to analyze the machinery and mechanisms that monitor cellular protein biogenesis
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of History and Ethics in Medicine, we advance ethical practice and theory in medicine, biomedical technology, and public health, driven by the belief that embedding ethics is essential for shaping the future
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. The cluster brings together researchers from engi-neering, medicine, social sciences, humanities, and law to study and shape the societal transformation driv-en by artificial intelligence, robotics, and
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collaboration Contact: Maximilian Tschochohei, PhD, VIOLET Project, Institute for AI and Informatics in Medicine, Chair of Medical Informatics, Technical University of Munich (TUM), Ismaninger Str. 22, 81675
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to joint research activities, publications, and surveys. Requirements PhD degree (or near completion) in robotics, control, machine learning, or a related field; Strong publication record demonstrating
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of Munich (TUM), deals with the multifaceted interactions between politics, society, business and technology in research, teaching and practice. It was established by the Bavarian State Parliament based on a
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activities include supervising students and teaching. Your Qualifications PhD in Chemical Engineering, Chemistry, Physical Chemistry, or Mechanical Engineering with a focus on combustion/atmosphere) Proven
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of Orthopaedics and Sports Orthopaedics and the Institute for AI and Informatics in Medicine. We work at the intersection of artificial intelligence, medical imaging, and clinical practice, developing methods
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related discipline before the start date. For Postdoctoral Researcher: Applicants must have completed, or be about to complete, a PhD (doctoral degree) in Psychology, Cognitive Science, or a related
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wellbeing. They will use modeling approaches to combine natural and social science data. You will focus on developing and implementing mixed modeling approaches to test pathways through which structure