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Lead the development, implementation, and optimisation of advanced digital phenotyping platforms, including multimodal sensing, spectral data workflows, and FAIR-complaint data pipelines. Work
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personal sphere of influence: As a Data Steward at the Faculty of Business, Economics and Statistics, you will manage the faculty Data Center, support researchers in the sustainable handling of research data
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What We Do: Data Scientists at the SEI use advanced statistics, data analytics, machine learning, and artificial intelligence to help our government and industry clients research and solve
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Information Assistant ( Job Number: 26000135) University Library and Collections Grade 3: - £12,893.40 - £13,338 which is pro rata the full time salary of £23,751 - £24,570 Open-Ended/Permanent
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Apply now Job no:503764 Work type:Exempt Staff Full-time Location:Partial Remote, Bethlehem Categories:Information Technology As an Information Specialist in our Library and Technology Services
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Macquarie University is hiring for an enthusiastic Senior Data Analyst. In this role, you will be embedded within a collaborative leadership team, where your insights will directly inform strategic decision
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Data Scientist/Senior Data Scientist - P Znamenskiy lab Reporting to: Petr Znamenskiy, Group Leader (The Francis Crick Institute) Contact term: This is a full-time, fixed term (3-year) position
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perspective. About the role The Data Analyst works within the Data Team, using and transforming data from multiple sources to produce high quality, digestible reports, dashboards, and bespoke pieces of analysis
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The Medicines And Healthcare Products Regulatory Agency; | Canary Wharf, England | United Kingdom | about 15 hours ago
aims to deliver world class regulation and improved outcomes for UK patients. We are currently looking for an experienced Senior Data Scientist to join our Scientific Data & Insight function in
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to support KU’s data strategy and data-informed decision making. The Data Services Coordinator plays a key role in supporting enterprise data integration and data management initiatives within the central data