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science, clinical simulation, and critical care research. Project background Intensive care units are among the most cognitively demanding environments in medicine. Clinicians must rapidly integrate streams
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resource allocation and grant funding opportunities. Develop staffing and scheduling models to optimize utilization of simulation assets. Participate in institutional self-study reports, site visits, and
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change and its linkage with climate change Develop and apply a machine learning emulation of dynamic global vegetation models to investigate land carbon fluxes Set up, run, and share simulations using
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
/Description: The Miao Lab in the Computational Medicine Program and Department of Pharmacology at the University of North Carolina – Chapel Hill (https://www.med.unc.edu/pharm/directory/yinglong-miao/) is
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is of advantage: Knowledge of parallel programming and HPC architectures, including accelerators (e.g., GPUs) Experience in modelling and simulation, ideally in the field of energy systems Experience
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | 1 day ago
intelligence is growing at a fast pace, the bulk of the world's computing power remains targeted at modeling and predicting physical phenomena, such as climate models, weather forecasting, or nuclear physics
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systems. These models will be part of a multicellular modelling and simulation framework being developed as part of the Australian Research Council's (ARC) Discovery Project "Bridging biological boundaries
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faculty Position Location: Taipei, T'ai-pei, Taiwan [map ] Subject Areas: Atmospheric Science Modeling & Simulation Climate Science Climate Change Appl Deadline: 2026/04/01 04:59 AM UnitedKingdomTime
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: Alexandre José Malheiro Bernardino (ist13761) Organic Unit: Scientific Area of Systems, Decision and Control Scholarship Theme: Computational Auditory System Simulators and Machine Learning-based Optimisation
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will be stationed at the Missoula Fire Sciences Laboratory in Missoula, Montana. The Fire Lab is world-renowned for its work ranging from fire simulation modeling to experiments in the wind tunnel and