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This role will be based on the university campus, with scope for it to be undertaken in a hybrid manner. We are also open to discussing flexible working arrangements. Are you a Computer Scientist
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About us The Department of Statistical Science at UCL is the longest established university statistics department in the world and has played a pioneering role in the development of the subject
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institutions in the programme grant and with supporting industrial partners. About you You should possess a university PhD degree in mechanical engineering or a similar discipline, preferably with experience
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for success: A PhD awarded in a relevant discipline (e.g. law, social sciences, history, science and technology studies, empirical bioethics or other relevant fields engaging with qualitative research and law
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you will be a member of the Mathematics Institute. About You The successful candidate is likely to have a strong background in mathematics, statistics, computer science, physics or engineering
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computing facilities and membership in the multidisciplinary Control & Power Group, which spans control engineering, energy systems and sustainability. Sector-leading salary and remuneration package
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working full-time. An exciting opportunity has arisen for a talented graduate in a quantitative STEM, psychology, health or social sciences or related discipline to develop their data analysis and modelling
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(MRC CMM) seeks an experienced research associate to join a recently funded 5-year programme of antifungal drug discovery at the MRC Centre for Medical Mycology. This exciting new programme connects MRC
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of consented patient samples. The project is led by Professor Charlotte Bevan, Professor of Cancer Biology. You will carry out research programmes and undertake project management tasks. You will conduct and
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to candidates with a strong quantitative background. We welcome applicants with training in mathematics, statistics, health economics, computer science, or epidemiology, particularly those with good numeracy and