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undergraduate degree in an Allied Health, Engineering, Biomedical or Sport Science or Biomechanics related field. An optional MSc including human biomechanics would be desirable. Candidates with experience in
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, applied statistics, biomedical sciences, health services research, or a medical degree with relevant experience, or equivalent professional experience. Demonstrated proficiency in quantitative methods and
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or international equivalent in an appropriate subject, including: biomedical sciences, medical physics. Further qualification such as an MRes is advantageous. If your first language is not English, you need
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extensive training in computational and analytical methods, gaining skills highly valued in both academic and industry research. Qualifications: A strong background in qualitative sciences: biomedical
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fundamental biomedical processes, scientists at the Max Perutz Labs aim to link breakthroughs in basic research to advances in human health. The Max Perutz Labs are located at the Vienna BioCenter, one
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. ALTERBIOTIC investigates the pressing global health crisis of antimicrobial resistance (AMR) from the perspective of the politics of innovation. The project examines how a new biomedical research field is
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(or equivalent) in an appropriate discipline. Ideal candidate will have some prior knowledge in deep learning and computer graphics. Subject area: Medical imaging, biomedical engineering, computer science & IT
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are highly sought after skills used in academic research and industries (including mechanical, aerospace, automotive, energy and biomedical engineering). Flexible start date! Project Title: Fluid and Droplet
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or neurodivergence You’ll be a good fit if you: Have a background in Biochemistry, biomedical sciences, organic chemistry and biophysics Are desire to explore the biochemical composition and biological activity
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as Aeronautic and Aerospace Engineering, Biomedical Engineering, Product Design and Engineering (a minimum honours degree at UK first or upper second-class level). Experience in computational modelling