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the Parallel Systems Lab ( https://psl-ntu.github.io ) at NTU’s CCDS. The role focuses on designing, developing, and evaluating efficient, scalable systems for modern multi-agent HPC-AI workflows
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various scales. The successful candidate will join the Systems Biology group and will be supervised by Professor Anna NIARAKIS. Job description : Creation of a multi-scale predictive digital twin of the
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team of data scientists, software engineers, and experimental researchers on topics including: Developing multi-scale and multi-modal representation learning methods for scientific imaging data (e.g
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in 2025. * Multi-Viewing, Multi-Channel, Multi-Polarisation Imager, see https://www.eumetsat.int/fr/surveillance-de-latmosphere-un-capteur-revo… Where to apply Website https://emploi.cnrs.fr/Offres/CDD
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environments · complex, multi-scale solid state and aerosol testing and analysis · a wide range of flexibility - applied bench- and full-scale fire testing, analysis (liquid and/or gas
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drive large-scale genomic, transcriptomic, and multi-omics discovery in order to predict and prevent these devastating diseases. Working closely with Dr. Clemens Scherzer and our computational, molecular
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ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI INFORMATICA - SCIENZA E INGEGNERIA | Bologna, Emilia-Romagna | Italy | about 1 month ago
Infrastructure? No Offer Description The research activity aims to investigate machine learning (ML) techniques supporting the design, synthesis, and analysis of collective and multi-scale systems, in
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in biomedical informatics is available at Harvard Medical School to work at the intersection of advanced machine learning and large-scale biomedical data. The selected fellow will join a dynamic
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distributed and multi-modal sensing data. Design and execute lab-scale experiments to study structural response and validate distributed sensing methodologies. Plan and conduct field deployments on bridges
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Karlsruhe Institute of Technology | Eggenstein-Leopoldshafen, Baden-Württemberg | Germany | about 15 hours ago
development of relevant analytical methods will follow. Establishment of suitable models to explain the results obtained drawing of interdisciplinary and potentially multi-scale approaches will be an