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analytical methods (SEM, ICP-OES, XRF, DLS, BET) to investigate sediments and soils, synchrotron-based experimental data acquisition and processing. Lab-based experimental design, sampling and processing
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SPMS conducts cutting-edge research in quantum science and technology, with strengths in quantum information theory, quantum communication, and quantum resource theories. We aim to advance both
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local energy markets and provide demand-side flexibility within a data-driven net zero carbon energy system. The appointee will support the development of data architectures, analytics tools, and
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objective of ATMRI is to support research and innovation in air traffic management. ATMRI focuses on developing practical and data-driven solutions for complex aviation systems, in close collaboration with
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learning systems. The successful candidate will work on projects involving ensemble learning, large-scale data analytics, and high-performance model design, aimed at developing next-generation intelligent
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linked health data, including major cohort studies and biobank resources. Your work will support high-impact programmes such as research into chronic diseases within the EXCEED Cohort Study, as
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Infrastructure Design, deploy, and maintain cloud-based and on-premise databases (relational and non-relational). Develop and manage ETL pipelines for structured data ingestion and transformation for analytics and
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/ multi-omic data from human subjects and experimental models, that includes cell culture, mice, and fruit flies. The lab is pursing studies to identify novel genetic drivers and disease biomarkers. A major
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with experience in Data Science and Analytics; (b) preferably have at least two years of relevant postdoctoral research experience; (c) have demonstrated promise of a high level of creativity in
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11 Feb 2026 Job Information Organisation/Company CNRS Department Institut de mathématiques de Jussieu - Paris Rive Gauche Research Field Mathematics History » History of science Researcher Profile