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can be addressed to Sophie Wilcock [email protected] Applications received after the closing date will not be considered. If you have any questions about the application process please contact the Faculty
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Are you ready to make a meaningful impact in the world of medical imaging? We have an exciting opportunity for 2 new roles at the University of Cambridge. We are seeking top-tier talents to advance
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neuroscience, computational cognitive science, physics, mathematics, computer science, machine learning, engineering or a related field. Preference will be given to candidates with: previous experience in
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, Physics, Computer Science, Data Science, Biostatistics, Neuroscience, or Medicine. A strong academic track record and programming skills are essential. Experience with machine learning, data science
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would be an advantage. Experience within the field of medical device design would also be an advantage. Key responsibilities include developing, documenting and validating research protocols for a range
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applied to reactor multi-physics (static and dynamic), radiation shielding and variance reduction, medical physics and charged particle transport, and algorithmic acceleration techniques. Researchers will
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King's College wishes to appoint, with effect from 1st October 2024, one Non- Stipendiary Research Fellow in any area of the Biological & Medical Sciences. Graduates of any University are eligible
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of spinal cord stimulation for pain management. The successful candidate will have (or be close to obtaining) a PhD or equivalent in Engineering/Physical Sciences and experience in experimental techniques in
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approaches to the implementation of a proactive risk-assessment process; ii) support qualitative work with members of the public to co-design potential strategies for implementing proactive breast cancer risk
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offer exciting opportunities to travel and work at the Barts Cancer Institute in London, where the Rosenfeld lab is in the process of relocating over the next year. We welcome enquiries from applicants