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Cambridge and international institutions. The preferred candidate will have a PhD (or equivalent) in Statistics, Computer Science, or other related quantitative subject. Selection criteria includes
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16 May 2024. Applicants must have (or expect to obtain) at least the equivalent of a UK upper second-class Bachelor's or Integrated Master's degree in a relevant subject, such as Chemistry or
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engineering, biomedical engineering, mechanical engineering, or a related subject. Applicants with relevant research experience, gained through Master's study or while working, are strongly encouraged to apply
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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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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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experience in cellular or systems neuroscience research. Essential criteria include: A first-class degree (or equivalent) in neuroscience, engineering, biology, or other relevant disciplines. Proficient
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Cambridge and international institutions. The preferred candidate will have a PhD (or equivalent) in Statistics, Computer Science, or other related quantitative subject. Selection criteria includes
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Cambridge and international institutions. The preferred candidate will have a PhD (or equivalent) in Statistics, Computer Science, or other related quantitative subject. Selection criteria includes
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endometrial cancer risk prediction models. Applicants should have a Master's or PhD in bioinformatics, statistics or a related scientific discipline or have an equivalent level of professional qualifications
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We are seeking a Research Assistant/Associate in Environmental Assessment to join the Centre for Industrial Sustainability within the Department of Engineering, to work on the SEEBEYOND project