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prospective screening trial at various screening centers of the Dutch Breast Cancer Screening Program, including analysis of large data sets of screening interpretation outcomes and of survey results, as
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-based models, and remote sensing technologies. Required Qualifications • Ph.D. in Civil or Environmental Engineering, Hydrology, Data Science, Geosciences, Computer Science, or a related field. PhD must
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statistical and computational methods designed to use “big data” and to address questions of direct or indirect relevance to common complex diseases and disorders. The appointee will join the group of Professor
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of technology and the act of translation. The recent advances in large language models and generative AI has highlighted the need to understand how the creative mind works when translating and the differences
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research environment supported by a team with broad expertise in data science, infectious diseases, hepatology, and clinical informatics. You will take a leading role in analysing large-scale, longitudinal
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, and large language models (LLMs), for the analysis of high-throughput multi-omics datasets (especially single-cell and spatial omics) and large textual corpora (e.g., scientific literature). Our
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. Analyzes large data sets. Analyzes next generation sequencing data (e.g., RNS-seq, whole genome/exome sequencing). Uses state-of-the-art bioinformatical and statistical tools. Develops new statistical
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information systems, relying heavily on the use of a large volume of heterogeneous data from both the Italian and French sides, which may sometimes be incomplete; Conducting two crisis management exercises (one
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22 Aug 2025 Job Information Organisation/Company Université Grenoble Alpes Research Field Environmental science » Other Researcher Profile First Stage Researcher (R1) Country France Application
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6 Sep 2025 Job Information Organisation/Company CNRS Department Institut des géosciences de l'environnement Research Field Physics Researcher Profile Recognised Researcher (R2) Country France