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addition to salary, our Total Rewards benefits and Compensation Estimator give you a clear view of the complete package. Job context: The Postdoctoral Research Associate position is based in the Department
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methods for DSGE/OLG models and dynamic programming models. Familiarity with simulation and calibration methods. Strong skills in econometrics, including familiarity with method of moments and maximum
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on probability estimation of rare events (such as jailbreak and social deceptive) in generative AI systems. More broadly, the research can also be on developing novel methods to specify, construct, evaluate
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Mineral Supply ‘ project funded by Northern Net Zero Accelerator . The aim of this project is to translate research methods pioneered by Durham University Earth Sciences (DU ES) on crystalline basement rock
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curious to deliver work that matters, your journey starts here! The Department of Electrical and Computer Engineering (ECE) ranks among the best in the country. Our research programs are at the forefront
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on the development and application of advanced modelling and machine learning methods, and may involve the following areas: Dimensionality reduction. Data-driven methods for estimating dynamical models Data-driven
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Job Description This position offers a unique opportunity to work on advanced projects at the intersection of AI, machine learning, computer vision, and multimodal learning, focusing on advancing
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that approximate the products of geochemical organosynthesis. This sample set will be uniformly analyzed for compositional/molecular fingerprints of life and non-life using state-of-the-art, largely flight-ready
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engine modeling code. Perform high-fidelity CFD simulations of turbulent and reacting flows pertaining to gas turbines and detonation engines using spectral element method (SEM). Perform scalability
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plans Develop methods or research that incorporate highly specialized training in chemistry Conduct experiments and collect data Analyze, evaluate, and present findings in professional journals Learn more