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mathematical and computational models of the coupled thermo-fluid dynamics of wind and surface-wave driven shelf-water polynyas in polar oceans. As magnets for biological activity, centers for deep salty water
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quantification and model calibration for decision-making Familiarity with interdisciplinary work at the interface of climate, environment, and health. Special Instructions Please submit the following materials
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The Monroe group at the Oxford University Department of Engineering Science seeks a full-time Postdoctoral Research Associate. This post is funded by the Faraday Institution Multiscale Modelling
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economy, through the execution of six Strategic Research Programs: Data Science for Tires, Tire as a Sensor, End-of-Life Tire Valorization, Sustainable Materials for Non-Pneumatic Tires, Sustainable
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-omics and Longitudinal Modeling in Alzheimer’s Disease Appointment: Full-time, 1-year term (renewable pending funding and performance) Position Overview We are seeking a highly motivated Postdoctoral
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of shelf-stable, nutritious whole-grain meals using advanced processing technologies (e.g., MATS, retort systems) AI-enabled modeling and optimization of perishable food supply chains, including cold chain
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analysis and Multiphysics Computational modeling of metal alloys using an Integrated Computational Materials Engineering (ICME) approach. Responsibilities: 60% Perform research on the microstructural
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discovery. The successful candidate will develop new, openly accessible datasets and machine learning models for modeling redox-active solid-state materials. Candidates who are nearing completion
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, and can analogous mechanisms be engineered into multi-agent AI systems? You would answer this question by building and testing computational models, developing multi-agent simulations where agents
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Zanna, the successful candidate will focus on developing generative machine learning models for complex dynamical systems for probabilistic forecasts. The postdoc will be expected to lead independent