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of your career, there is a role for you. We believe everyone has their own unique skills to offer. We would be thrilled if you would consider joining our thriving University. Further information about the
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, and the successful applicant’s work will establish a method to add new dimensionality to cryoEM data using specimen potential maps. You will develop methods to detect potential gradients in cryogenic
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collation, analysis and presentation of both large-scale survey data, as well as extensive qualitative data. The successful candidate will work closely with the lead researchers and UEFA. The role requires
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with examinations and teaching events. Acting as a key point of contact for students and staff, the role also involves managing shared inboxes, communicating important information, maintaining accurate
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We’re seeking a talented and motivated postdoctoral researcher with experience in cancer or chronic disease epidemiology and strong data analysis skills to join Professor Marc Gunter’s team
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and user support for the Collections Management System (EMu) used by the Museum of Natural History and the History of Science Museum. You will maintain, develop and implement data standards, policies
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and funding, particularly incorporating policy objectives within processes, while considering the level of institutional burden and monitoring information required. This will include: contribute
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responsibilities will include: Working collaboratively with colleagues and stakeholders to collate and process large quantities of data and translate this into the FAS academic timetable, ensuring that services
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logical approach to tasks High standard of written and verbal communication Ability to manage confidential and sensitive information with tact and discretion Confidence in working collaboratively with a
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on the study of the digital traces we left behind to capture human behaviour and social dynamics through the lens of Network Science, Complexity Theory, and Data Science. The team is made up of researchers in