29 parallel-computing-numerical-methods "Institute of Computer Science" positions at Amsterdam UMC
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at the intersection of physics, computer science and healthcare. You thrive in an international and multidisciplinary environment and are eager to contribute to innovative research. In addition, you
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developing new methods and you care deeply about thorough validation and their impact on patient care. You have: an MSc degree in biomedical engineering, applied mathematics, computer science, physics
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analysis and enjoy working in an international, multidisciplinary environment. In addition, you have: an MSc degree or equivalent in physics, biomedical engineering, computer science or a related field
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reuse of biomedical data resources. Many biomedical databases contain valuable information, but their schemas, metadata, access methods, and documentation are often heterogeneous, making integration
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problems for methods that remain effective in the small-data settings that are common in psychiatric research. You will develop innovative AI tools to improve the diagnosis, prognosis, and treatment of
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29 Sep 2026 Job Information Organisation/Company Amsterdam UMC Research Field Biological sciences » Biological engineering Biological sciences » Biology Computer science » Modelling tools Computer
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DIsease Research in Zambia, the University of Ghana, and Kenya Medicral Research Institute. Would you like to know more about the different phases within the PhD trajectory? You can read more about
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at two institutions in Barcelona, Spain: the Hospital del Mar Research Institute (HMRIB) and the University of Barcelona, in collaboration with the Bellvitge Biomedical Research Institute (IDIBELL
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/363171/ Work Location(s) Number <b>of</b> offers available 1 Company/<b>Institute</b> Amsterdam UMC Country Netherlands City Amsterdam Postal Code 1105AZ Street De Boelelaan 1117 Contact City Amsterdam Zuidoost Website https://www.amsterdamumc.org/ Street Meibergdreef 9 Postal Code 1105 AZ...
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the York Biomedical Research Institute and the Department of Biology at the University of York. You will focus on developing and standardising robust preclinical outcome measures across multiple