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biogenic particles; the effects of fronts, eddies, upwelling, and other mesoscale processes on biological communities; applications of remote sensing integrated with in situ observations, numerical modeling
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algorithms and neural network models, drawing on probability, partial differential equations, large deviations, stochastic analysis, optimisation and machine learning. The successful candidate will contribute
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experience in pulmonary vascular disease or related areas, with demonstrated expertise in several of the following techniques: • Endothelial cell culture. • Animal models of cardiovascular diseases. • Western
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will join a research group working on longitudinal models of multiple chronic diseases across the life course. The postdoctoral researcher will contribute to building and evaluating machine learning
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educational programs, we are now seeking a postdoctoral researcher to work on privacy for data-driven models and high-dimensional data. The position is full-time for two years, starting on 12th January 2026
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data and applied to public datasets, e.g. Fermi-LAT and DESI. The two postdocs will be recruited simultaneously and will work as a team toward a single joint pipeline. Position 1 — LSS forward modelling
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for individuals, organizations or society. You will be part of the SAIL research group, whose research activities focus on AI-based modeling of complex systems, uncertainty management in deep learning, visual
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design. The role will combine experimental plasma science with numerical modelling to understand and improve nitrogen fixation pathways, alongside the use of analytical chemistry methods to quantify
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under the supervision of Rinn AI Research Ireland Principal Investigator, Associate Professor Erivelton Nepomuceno. Project theme: Energy-Aware Modelling and System Identification for Sustainable
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Weather and climate prediction are undergoing a profound transformation. Alongside traditional physics-based forecast systems, machine-learned (ML) weather prediction models, hybrid ML-physics