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with network science or graph analytics concepts, including: Graph modeling and analysis using tools such as NetworkX Introductory experience with graph‑based ML or GNNs is a plus Monte Carlo or
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application of machine learning, Monte Carlo radiative transfer calculations, and statistical analysis methods. Develop an all-sky NUV map based on the established FUV processing methodology and perform
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Monte Carlo or stochastic simulation methods Simulation‑in‑the‑loop (SiL) or synthetic data generation to support ML training and evaluation Experience integrating simulation outputs with ML models
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Pathogenic Mechanisms And Therapeutic Targets For mtDNA Mutations PhD Studentship: Monte Carlo Methods for Constrained and Aggregated Data Marie Curie Research Fellow (PhD Funded) Marie Curie Research
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algorithms (specifically track and vertex reconstruction), particle physics data analysis, or Monte Carlo simulation of detectors are additional assets. • Have a good command of English, at level B2
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., Azure, AWS or GovCloud equivalents). 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
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plus Monte Carlo or stochastic simulation methods Synthetic data generation or simulation-in-the-loop workflows Exposure to geospatial data, spatiotemporal datasets, or PostgreSQL/PostGIS is a plus
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laboratoires spécialisés pour réaliser le prototype. Pour mener à bien cette mission, une première expérience des codes de calculs d’interaction rayonnement-matière de type Monte-Carlo (MCNP, GEANT4) et
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topologicallyordered states, unconventional phase transitions, and application of newly developed methods, such as Diagrammatic Monte-Carlo to understand the long-standing problems. Collaboration with local and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 hour ago
, QUDA , Grid) and GPU computing. Experience with statistical analysis of large Monte Carlo datasets, including inverse-problem and Bayesian methods. Experience using DOE computing allocations ( NERSC