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from control theory, machine learning, optimization, and network science, spanning diverse application domains such as energy systems, biomedical systems, neuroscience, and safety and security
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motivated candidate with: A PhD (or be close to completion in exceptional cases) in molecular biology, cell biology, biochemistry, or a related field. Strong theoretical background and extensive hands
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are expected to have a PhD in Physics, Mathematics, Computer Science or a related quantitative discipline. Ideal candidates from the biological sciences should have experience with scientific programming. Ideal
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at the Division of Biomedical Engineering Department of Materials Science and Engineering, Uppsala University. Full-time temporary position for two years starting as soon as possible or as agreed
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Qualifications PhD in biology/ biomedical sciences/ chemistry/ biophysics or an MD with at least 2 years of full-time research experience. Experience working on mouse models of heart disease, cardiomyocyte and/or
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curious to deliver work that matters, your journey starts here! The Biomedical Engineering Department at Carnegie Mellon University is renowned for its interdisciplinary approach to solving complex
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Postdoc in Generative Machine Learning for Biomedical Data | Human Technopole, Milan Build the science that shapes the future of human health. Application closing date: 21.02.2026 Join a place where
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Neuroimaging, MRC BNDU, and the Oxford Health NIHR BRC. About You You will hold a PhD in biomedical engineering, neuroscience, or a related field, and have experience in the development of technological systems
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qualifications at the time of hire. ● PhD (or equivalent) in Computational Biology / Bioinformatics, Biomedical Informatics, Computer Science, Statistics / Biostatistics, Applied Mathematics, or a closely
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 22 days ago
Contribute to advancing the MiROS technology from prototype to real-world application Your profile PhD (or MSc with strong experience) in electrical engineering, physics, biomedical engineering, computational