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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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                healthy aging in families, and 2) the prediction of health outcomes in the general population using molecular, socioeconomic, and environmental data. You will work with very large, globally unique registry 
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                The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 6 days agoto 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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                Are you passionate about mathematical control theory and its applications? Are you eager to develop estimation and control algorithms for large-scale dynamical systems with the aim of making next 
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                of health outcomes in the general population using molecular, socioeconomic, and environmental data. You will work with very large, globally unique registry, medical, and molecular data from CBS and ELAN 
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                to the Carefree Models Project , a large-scale initiative aimed at improving the resilience, efficiency, and sustainability of predictive models in process industries. Information Predictive models are central to 
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                experience in one or more of: large-scale data analysis, time-series photometry, spectroscopy, astrometry, Bayesian/statistical inference, and/or software development for astronomical datasets. Department