75 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"U.S"-"U.S"-"UCL" positions at University of Newcastle in United Kingdom
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to offer an exceptional opportunity for a Senior Information Systems and Data Manager to join our senior team and lead the strategic development of data management and information systems across the Unit. In
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support. Actively promoting an open flow of information and seeking to partner with external interest holders/stakeholders in all our activities. Courage and Ambition: Operate at the top of your game
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for using data science to address real-world challenges in animal welfare and agricultural sustainability? We are seeking a Research Assistant or Associate in Data Science to join an interdisciplinary
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data to inform and validate modelling work within a NERC-funded interdisciplinary project. The NERC-funded project develops a new development-centric framework for understanding adaptation under
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consortium of academic and industry partners across the Europe and US (including multinational pharmaceutical companies such as Pfizer, Eli Lilly, and GSK) to ensure the delivery of data and digital solutions
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across the University to ensure the University has access to effective research Management Information from both internal and external sources. This is a fixed term post for one year If you would like
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candidate to the role 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
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intelligence, and to help shape how data and insight are used to inform strategic decision-making across the institution. You will work with a rich and complex range of higher education data — including student
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and conditions, ensuring application across individual student cases. Maintain detailed partner and sponsor records, including contract and contact information, reporting cycles, and official
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, including financial management of projects. Ability to analyse financial data, identify variances, and contribute to accurate and timely financial reporting. Strong Excel skills and knowledge for data