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across a broad range of experimental approaches. The institute provides a modern scientific environment with close links to clinical research, translational projects, and excellent central technology
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internationally visible research environment with access to cutting-edge technologies in immunology, (spatial) multi-omics, advanced imaging and computational biology. Our requirements Applicants should hold a PhD
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 1 month ago
protein. The technology has been recognized with the m4 Award, the GO-Bio next program, and is currently under revision in a top-tier journal (preprint: 10.21203/rs.3.rs-5123765/v1). We now aim to translate
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activities. ________________________________________ Candidate Requirements ✅ PhD degree in Engineering, Computer Science, Systems & Control, Statistics, Computational Physics, Computational Chemistry
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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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intelligence modelling methods and deep learning techniques can also be used in both areas. Your qualifications: Master's degree/diploma/doctorate in computer science, mathematics, physics, engineering, or a
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natural and AI-designed protein domains, along with an engineered fusogenic protein. The technology has been recognized with the m4 Award, the GO-Bio next program, and is currently under revision in a top
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Temporary Job Status Full-time Hours Per Week 38,5 Offer Starting Date 2 Feb 2026 Is the job funded through the EU Research Framework Programme? Other EU programme Is the Job related to staff position within
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02.07.2025, Academic staff The Professorship of Energy Management Technologies at TUM’s School of Engineering and Design is looking for a Postdoc (f/m/d) in Energy Informatics. You are passionate
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while keeping the grid reliable and secure. Our research method is engineering-oriented, prototype-driven, and highly interdisciplinary. Our typical research process includes the evaluation of existing