101 data-"https:" "https:" "https:" "https:" "https:" positions at University of Oxford
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opportunity This post could be considered as a secondment opportunity. Please discuss secondments with your line manager in the first instance. For more information please go to: https://hr.admin.ox.ac.uk
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, and ensuring rights information is accurately recorded in ResourceSpace and MuseumPlus. You will provide clear guidance to colleagues, support data cleaning and analysis, and help shape a consistent
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well as proven expertise in budget setting and financial management. You will be an excellent communicator, able to synthesise large volumes of information and present clear insights to diverse stakeholders
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We invite applications for a Postdoctoral Researcher to join the research group of Professor Christopher Yau ( http://cwcyau.github.io ) at the Big Data Institute, University of Oxford. This post
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on the Application Form. Information about Plant Sciences at Oxford can be found at https://www.biology.ox.ac.uk or by contacting the head of the Molecular Plant Sciences Section (lars.ostergaard@biology.ox.ac.uk
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the UK. For more information please visit: https://www.jobs.ox.ac.uk/pre-employment-checks Further information on this role can be found in the job description. At Saïd Business School we believe in
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University colleges, discounts at university museums and the University Sports Club, and free membership of the University Club. More information is available at https://hr.admin.ox.ac.uk/staff-benefits
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at national and international conferences while fostering collaborations. You will also conduct cutting-edge research, integrating first-person reports with behavioural and neuroimaging data, developing MATLAB
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project ideas. You will analyse neuroimaging and behavioural data and develop statistical and computational models About You You will have first degree in neuroscience, data science, computer
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quantitative and programming skills along with a track record of designing neuromodulation and neuroimaging studies in healthy participants, of using computer programs to design experimental paradigms, analyse