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; Experience with large language models; Experience with the management and analysis of climate and/or health data; Be willing to work in an inter-disciplinary project team within a highly collaborative research
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locally, in the cloud and in the Galaxy workflow system. The successful candidate will focus on implementing improved data representation and storage modes for large-scale mass spectrometry (MS) data
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17 Sep 2025 Job Information Organisation/Company ERATOSTHENES CENTRE OF EXCELLENCE Department Big Earth Data Analytics Research Field Computer science Engineering » Computer engineering Computer
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. Required qualifications: A Ph.D. degree in Computer Science, Data Science, Software Engineering or related field. Solid research experience with using Large Language Models. Solid programming expertise in
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We are seeking a Postdoctoral Researcher in Geospatial Urban Big Data to support the analysis of urban dynamics and decision-making in territorial planning. The candidate must be proficient in GIS
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11.07.2022, Wissenschaftliches Personal The professorship “Big Geospatial Data Management” is seeking to fill two research assistant (E13) positions to support research activities around geospatial
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
to contribute to innovative projects at the forefront of healthcare delivery improvement, leveraging Large Language Models (LLMs) and clinical data analysis. About the Position Our Postdoctoral Research Program
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clustering—across large registry datasets, generating outputs that inform cancer policy and health service planning. The Fellow will lead specific projects, contribute to north–south data harmonisation
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Call for Postdoctoral Researchers in Artificial Intelligence (AI) – Focus on Large Language Models (LLMs) for Predictive Maintenance: Introduction UM6P Mohammed VI Polytechnic University is an
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[Appointment period: six months] Duties The appointees will assist the project leader in the research project - “Causality-aware trustworthy Large Language Model”. The appointees will be required to: (a