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are seeking a Research Data Manager who will be responsible for the management of large, complex data sets for the assigned project/study. The Research Data Manager is responsible for, Data quality assurance
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modeling of polymeric, reinforced, and porous materials, with strong expertise in large deformations and numerical homogenization. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR7649-JULDIA
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data analysis methods to study biological memory circuits and their applications to machine learning. Building on recent work from the Fiete Lab, the role focuses on identifying principles of biological
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: 88419BR Will gain experience in: * Building automated data pipelines between source departments and the enterprise data warehouse. * Working with large-scale HR and workforce data models in Scuba
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to detail and adhering to data processing standards. Consistency with processing of file entries. Work with Librarians and Staff to process large data files Discipline Specific Required Qualifications
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experience in the processing and integration of massive datasets (‘big data’), they will contribute to ecological modelling, environmental impact forecasting, and soil biodiversity analysis in the central
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Modelling, Applied Statistics, Linguistics, Data Analysis, Large Language Models, Machine Learning. Start date: 1st October 2026 Deadline: 30th April Duration: 36 months Funding: Funded Funding towards
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Management Maintain and organize large, multi-modal imaging datasets (EUS, MRI, and associated clinical data). Ensure accurate data tracking, naming consistency, and version control across storage systems
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-0830 Description of Work: The University of Nebraska-Lincoln is tackling big challenges in beef production, blending cutting-edge research with practical solutions to help producers thrive
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, Computer Science, Engineering and Genomics. Previous experience working with disease vector data is not essential and we encourage all applicants interested in large-scale data management, computational design and