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systems. Familiarity with cloud computing environments (e.g., Azure, AWS or GovCloud equivalents). Introductory experience with graph‑based ML or GNNs is a plus Monte Carlo or stochastic simulation methods
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NetworkX Introductory experience with graph‑based ML or GNNs is a plus Monte Carlo or stochastic simulation methods Synthetic data generation or simulation‑in‑the‑loop workflows Exposure to geospatial data
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reinforcement learning (RL), Bayes adaptive RL, and planning with novel variants of Monte Carlo tree search. You should possess a relevant PhD/DPhil or be near completion together with relevant experience
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(for example, efficient sampling from the Gibbs measure, Markov Chain Monte Carlo methods, etc.). Experience in distributed or parallel computing is a plus, but is not a requirement. The position does not
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interactions using Monte Carlo codes (MCNP, PHITS). Designing and performing numerical calculations of radiation shielding using Monte Carlo codes. Designing and performing Monte Carlo calculations
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for associated-particle imaging using D-T neutron generators. • Operate, support, and coordinate experiments involving D-D and D-T neutron generators. • Develop and apply Monte Carlo radiation transport
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help build the first Monte Carlo ray tracer for the atmosphere that is fast enough for forecasting, and use it to find out how 3D radiation shapes clouds, solar energy availability, climate sensitivity
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 7 days ago
perturbative matching. Experience with lattice QCD software frameworks (e.g., Chroma, QUDA, Grid) and GPU computing. Experience with statistical analysis of large Monte Carlo datasets, including inverse-problem
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effects on astronauts. Detailed analyses of such effects, and possible ways to shield and mitigate against them, are typically conducted by using environmental prediction in combination with Monte Carlo
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a requirement. Experience with advanced statistical methods, econometric methods, and Monte Carlo simulation is an advantage. We do not expect candidates to already possess expertise in these areas