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concessions. For more information please visit: www.gov.uk/skilled-worker-visa . What we offer in return: 26 days holiday plus 16 Bank Holidays/days that the University is closed by custom (including Christmas
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organisations to plan and undertake qualitative fieldwork to understand perspectives of groups experiencing digital inequalities. You will coordinate evaluation activities, lead data collection and data analysis
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Marie Skłodowska-Curie network. You will record and present experimental data, contribute to laboratory meetings, and assist in the supervision of MSc, undergraduate and Erasmus+ students. About you You
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work closely with academic and professional colleagues across the University to play an important part in maintaining compliance with financial and regulatory requirements, supporting data integrity
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The Medicines And Healthcare Products Regulatory Agency; | Canary Wharf, England | United Kingdom | 3 months ago
the Safety and Surveillance group. Within a week of working here, your day could look like this: applying your epidemiological, statistical, data management and data analysis expertise to support public health
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data/analysing themselves or having completed a MSc in Cognitive Neuroscience or Brain Imaging). Experience working with adolescents or children would be a great advantage. The successful applicant
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About the role This role offers an opportunity to contribute to the School’s established strengths in applied statistics, artificial intelligence, machine learning and data science. You will drive
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full-time, permanent basis and is immediately available. For full details of this position please read the Applicant Information Pack, available to download from the RCM website. To apply, please
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their eligibility to work in the UK in accordance with the Immigration, Asylum and Nationality Act 2006. More information on this can be found here: www.gov.uk/check-uk-visa Closing date: 12 Noon, Wednesday 6th May
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are currently under-represented at this level in our Department. Informal enquiries and requests for further information are very welcome and should be addressed to Prof Christina Zielinski cez22@cam.ac.uk