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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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We wish to appoint a Data Protection Officer who will play a pivotal role in safeguarding the University’s information and ensuring we meet our legal and regulatory obligations. About the role You
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Position Title: Data Analyst I Job Group: Professional & Scientific Required Minimum Qualifications: Bachelor’s degree Preferred Qualifications: Experience using student information systems, such as
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Are you an experienced clinical trials professional ready to make a national impact? Join the TRANSFORM study as a Data Manager and play a central role in delivering the UK’s largest prostate cancer
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The Medicines And Healthcare Products Regulatory Agency; | Canary Wharf, England | United Kingdom | 28 days 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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21 Feb 2026 Job Information Organisation/Company Université Grenoble Alpes Research Field Technology Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1
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may be higher, depending on the position and factors listed above. The University also offers a comprehensive benefit program to eligible employees. Please see this link for more information. 36.25 No
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Senior Data Engineer-2600263 __________ INFORMATION SYSTEMS | TE POUTOKO TUKUTUKU DIGITAL SERVICES DIVISION | RATONGA MATIHIKO Who we are | Ko wai mātou The University of Otago is driving
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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
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on Unsupervised Representation Learning to automate data curation for the SURGE framework. The intern will build a pipeline using Autoencoders to extract meaningful features from high-dimensional scientific data