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Location: Central Cambridge We are seeking a highly motivated Research Assistant/Associate in Machine Learning to join an interdisciplinary project at the University of Cambridge focused on machine
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multiple departments within the University of Cambridge as well as the collaborating organisations (RSBP, NIAB and UKCEH). The role holder will investigate machine-learning approaches that advance the core
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Salary: Research Assistant: £31,236 -£35,608; Research Associate: £37,694-£46,049, per annum The Centre for the Study of Existential Risk (CSER) is seeking a Research Assistant/Associate to work on the Evidence Exchange (EvEx) initiative. EvEx is a major UKRI-funded programme that will bring...
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A position exists, for a Research Assistant/Associate in the Department of Engineering, to work on Optical Wireless Communication. The post holder will be located in West Cambridge, Cambridgeshire, UK. The key responsibilities and duties are: Develop professional technical documents and reports...
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We are looking to recruit a part-time, 20 hours a week, Research Assistant/Associate in Sociology as soon as possible for a fixed term for 9 months. You will be providing research support for a new project run by Professor Manali Desai researching the political economy of gendered violence in...
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Research Associate* £37,694 - £46,049 Research Assistant: £33,002 - £35,608 An exciting opportunity has arisen for a new analytical role in the Cardiovascular Epidemiology Unit (CEU), Department of Public Health and Primary Care. The post-holder will contribute to the development and application...
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Epidemiology , Department of Public and Primary Care, University of Cambridge. They will be supervised by Professor Antonis Antoniou and mentored by Professor Douglas Easton. The successful candidate will be
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24 Feb 2026 Job Information Organisation/Company University of Cambridge Department Department of Public Health and Primary Care (PHPC) Research Field Other Researcher Profile First Stage Researcher
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, finance or computing science/natural language processing/machine learning. Preference will be given to those who are proficient in Python, adept at processing large-scale data and have worked with large
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between the University of Cambridge, Nanyang Technological University, and the National University of Singapore, funded by the National Research Foundation Singapore. The programme sits at the core