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multimodal data fusion", working with Prof. Marios Philiastides. The post holder will have the opportunity to be involved in cutting-edge bespoke neuroimaging technology [3T/7TfMRI-EEG fusion] and advanced
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leads across the School to deliver against the multiple assessed elements of the REF submission. You will lead the collection and review of data and information, offer expert guidance and support, and
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admissions criteria. Key Duties Responsibility for ensuring the accurate processing of applications to the University including data entry and record keeping using the University’s student record system. Where
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only be suitable for first-time Skilled Worker visa applicants if they are eligible for salary concessions. For more information, please visit the Government’s Skilled Worker visa page . For research and
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: Applications accepted all year round Details This PhD project focuses on using topological data analysis (TDA) in machine learning (ML) to study (exotic) quantum matter systems defined on a lattice. TDA is a
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recruitment into EPIC-Oxford 2, a new phase of the EPIC-Oxford cohort study, and will work in close collaboration with a Data Manager and epidemiologists from the Unit. The main responsibilities will include
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will be primarily responsible for recruiting secondary school participants and conducting data collection as part of a new longitudinal project, generously funded by the Huo Family Foundation, on how
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, drawing on high-resolution proteomics alongside complementary omics, clinical data, and dietary and lifestyle information. The overarching goal is to enable improved disease stratification, identify
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of Operations Assistant. The candidate will provide bespoke, professional and accurate information to applicants, students, staff and third parties on the array of queries and tasks related to Student Health and
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programme on a day-to-day basis, participating in project meetings, liaising with research sites, and responding to queries. Develop data collection materials (such as interview schedules and outcome measures