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surveys, early universe and gravitational physics. Good programming experience, an enthusiasm for coding and data analysis, and the ability to work in a large collaboration, are particularly relevant
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submitting a cover letter explaining how your experience aligns with the role, your CV, and contact information for two referees. Only applications received before midday on the closing date will be considered
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oriented environment. The post holder must have experience with EEG and should be able to carry out acquisition and analysis of EEG data independently. The post holder must also have a strong statistical
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) prior to taking up the appointment. The research requires experience in continuous-wave and pulse ESR spectroscopy, including experimental setup, setup optimisation and coding for data analysis and
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communities bordering the West Nile, Lake Albert, and Lake Victoria. To be considered for the role, you should hold (or be close to completion of) a PhD/DPhil in Health Data Science, along with relevant
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socioeconomic inequality. DIVREP involves three broad objectives: (1) assembling data on childbearing age and fertility levels, and estimating novel indicators of variation in reproduction for over 120 countries
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work on the PANGEA-HIV project, analysing viral sequence data to assess how effective broadly neutralising antibodies may be against current HIV strains in Southern Africa. Second, you'll support early
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earthquake engineering problems, preferably with a focus on liquefaction of sands. Informal enquiries may be addressed to Prof. Orestis Adamidis (email: orestis.adamidis@eng.ox.ac.uk) For more information
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enquiries may be addressed to Prof Luca di Mare: luca.dimare@eng.ox.ac.uk For more information about working at the Department, see www.eng.ox.ac.uk/about/work-with-us/ The University of Oxford is committed
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statistical and computational methods designed to use “big data” and to address questions of direct or indirect relevance to common complex diseases and disorders. The appointee will join the group of Professor