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to discuss the post informally, please contact Dr Yuanchang Liu () About you The ideal candidate will hold a PhD (or be close to completion) in Mechanical Engineering, Robotics, Marine Engineering, or a
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community of researchers who conduct cutting-edge research into NLP and AI within the University of Cambridge. Appointment at Research Associate level is dependent on having a PhD (or equivalent experience
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research activities. The applicant will have obtained or be close to obtaining a PhD in Mechanical Engineering or Materials Science. Appointment at Research Associate level is dependent on having a PhD
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research programme, titled Collective Action for Race Equity in Health and Social Care (CARE-HSC), aims to address and dismantle structural factors that perpetuate racial discrimination and harassment within
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computational biologists • Opportunity to contribute to high-impact publications • Career development opportunities, including support for enrolment in PhD programmes This post is for 1 year
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. The position is available up until the end of 2025. Where a PhD has yet to be awarded the appointment will initially be made at Research Assistant level (Grade 5) and amended to Research Associate (Grade 7) upon
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of the project is to 1) develop computational pipelines for image analysis and physical analysis of cell shape trajectories, and for combined morpho-molecular analysis of cell shape together with molecular markers
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or sensor arrays. Experience generating, processing and analysing large material property datasets including correlating between multiple techniques, or developing computational reconstruction techniques
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bioinformatician with a PhD or equivalent experience to join our dynamic research team at the Life Arc Centre for Rare Mitochondrial Diseases https://www.lifearc.org/project/lifearc-translational-centres-for-rare
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Research Assistant/Research Associate* in Cardiovascular Epidemiology (BHF Scholarship) (Fixed Term)
be considered. As a group, we value and encourage applications from a diversity of background and experience to contribute to the highly interdisciplinary research programme. We strongly value and