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Center for Biologics Evaluation and Research (CBER) | Silver Spring, Maryland | United States | about 2 hours ago
scientific data, including large-scale omics datasets, within high-performance computing (HPC) environments. Learning Objectives: Under the guidance of a mentor, you will gain skills in and learn to: Develop
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the same criteria. Further information on our great benefits package, including 34 days annual leave inclusive of Bank Holidays and additional University Customary days (pro rata for part-time), can be found
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Requisition Id 16137 Overview: We are seeking an information specialist who will develop technical communication materials for research emanating from the U.S. Department of Energy’s (DOE
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for someone who will provide leadership in the statistical interrogation and analysis of internal and external data sets. The candidate would also lead on the submission of all external data returns in
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About the role We are seeking an organised, detail‑oriented Clinical Research Data Integration Coordinator to work within the Cancer B‑cell Group on the CRUK Accelerator Programme “Early Cancer
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Location - Hybrid (minimum 2 days a week onsite, IT Office) Why Should You Apply? Are you passionate about using data to drive change? As our Data and Insights Manager, you’ll help us turn data
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(Exempt) Position Type Staff Job Summary The Data Engineer III will lead the design and implementation of robust, scalable data solutions and analytical models to support enterprise analytics and AI
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harmonised database for collating and sharing bycatch and stranding information on marine mammals and ETP species. The postholder will be responsible for scoping and implementing phases of an online, web
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website about knowledge security. Please do not contact us for unsolicited services. Where to apply Website https://www.academictransfer.com/en/jobs/359470/data-scientist/apply/ Requirements Additional
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to support KU’s data strategy and data-informed decision making. The Data Engineer plays a critical role in designing, building, and maintaining complex data systems, including data pipelines, data warehouses