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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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One or more positions exist for a Research Assistant/Associate, in the Department of Engineering, to work on a collaborative project between the labs of Máté Lengyel at the Computational and
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The Rayner Laboratory at the Cambridge Institute for Medical Research is recruiting a Research Associate to develop and apply a microfluidic device to study the invasion of human red blood cells by
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The Faculty of Education at the University of Cambridge wishes to appoint an enthusiastic and motivated Research Associate to work on a programme of research focussed on the promotion of mental health in the first years of life. The research is funded by UK Research and Innovation through a...
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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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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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We are seeking a highly motivated Research Assistant/Associate to join our team in the Department of Public Health and Primary Care on a new Cancer Research UK funded research programme focused on how to optimise implementation of breast cancer risk assessment into the NHS for women under age...
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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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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