213 structural-engineering "https:" "https:" "https:" "https:" "https:" "https:" "Multiple" "U.S" positions at Technical University of Munich
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learning, medical image computing, biomedical engineering, medical physics, or related field Strong Python and PyTorch experience Solid publication record and ability to communicate research results
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-Tracking, and their responsible applications. Ideal candidates will have: An M.Sc. degree (or equivalent) in Computer Science, Game Engineering, Mathematics, Statistics, or related fields. Strong programming
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to our researchers, giving them room to focus their full creative potential on developing the imaging and sensing technology of tomorrow. The successful candidate will specifically: • Lead project
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learning Solid knowledge of scientific software engineering Expertise in analyzing omics data and/or imaging data Experience in conducting, ideally managing, interdisciplinary projects and communication Your
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projects with high societal impact A senior, independent research role with habilitation potential Structured mentoring and access to Talent Management programs An interdisciplinary and international working
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applications, technology, and research. Compensation The position will be paid in accordance with the Collective Agreement for the Civil Service of the Lands (TV-L). Your qualifications • A Master’s level
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an opportunity to rethink the entire engineering design process. By integrating cutting-edge health research, emerging technologies, circular economy principles, and sustainable materials science, we can create
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As a suitable candidate, you hold a very good PhD or master´s degree in industrial engineering, process engineering, chemistry, computer science or similar disciplines. You think analytically, work
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degree (Master or Diploma) in aerospace engineering, mechanical engineering, computer science or a comparable field. • Experience in machine elements, structural analysis, fault diagnosis, and knowledge
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characterization and application in biological tissue. Working across this entire pipeline offers a rare opportunity to help shape a technology from its earliest foundations through to its first biomedical use cases