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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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high-quality research in one of the Department's key research areas: (i) Artificial Intelligence and Machine Learning; (ii) Big Data and Data Management; (iii) Computer Vision and Pattern Recognition
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School (UMass Chan) develops and applies cutting-edge computational and big-data approaches to understand the genomics, epigenomics, and regulatory functions of noncoding RNAs in human disease. We develop
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of Technology , we conduct advanced research in data-driven nutrition, health, and food science. With large-scale diet and health data, omics data, biomarkers, digital food and health services, we establish
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Large vision–language models (LVLMs) can describe driving scenes and support decisions [Li25], but they sometimes hallucinate objects, relations, or events that are not present [Liu24,Liu25]. In a
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to support large-scale studies Lead or assist with project coordination, data analysis, manuscript preparation, and grant development Engage in mentoring and training activities Qualifications Ph.D. in
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2 Mar 2026 Job Information Organisation/Company IMEC Research Field Engineering » Other Computer science » Other Physics » Other Researcher Profile First Stage Researcher (R1) Recognised Researcher
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Research FieldGeosciences » OtherYears of Research Experience1 - 4 Additional Information Benefits Opportunity to work in an international, interdisciplinary research environment. Access to large datasets
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visit: https://www.brunel.ac.uk/about/our-history/home We are seeking to appoint a Research Assistant who will work on the ELOQUENCE European project which aims to study Large Language models in
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world-class research in spatial information science and system and provide state-of-art research training to post-doctoral fellows, Ph.D. and Master students in the field. For more information about the