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apply expertise in techniques such as reflectance spectroscopy and statistical modeling approaches, including Markov chain Monte Carlo methods, to support scientific investigations of planetary
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, or computer science. Core competencies: solid background in quantum many-body physics strong programming skills (Python required, Rust a plus) experience with tensor networks, variational Monte-Carlo, machine learning
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., Fivetran, dbt, Monte Carlo) for maintaining reliable pipelines across enterprise sources. Experience with of data visualization principles and BI tool capabilities (e.g., Tableau, Power BI) sufficient
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spectrophotometric and time-resolved optical measurements, Monte Carlo simulations, and numerical solutions of Maxwell's equations. The expected outcomes will advance the fundamental understanding of radiative
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materials to improve catalytic performance in water oxidation reactions). To achieve this goal, we will leverage BCAM’s enhanced Bayesian sampling techniques, generalized hybrid Monte Carlo (MC) schemes, and
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one of the following areas: - Methodology development in wavefunction-based electronic structure methods, quantum Monte Carlo, tensor networks, or quantum embedding methods
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. Sequential decision making. MDP/POMDP, dynamic programming, model-based RL, latent state-space (world) models, Monte-Carlo Tree Search. Strong command of at least one, working knowledge of a second: Formal
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potentials (DeePMD-kit, NequIP/Allegro, or similar). Familiarity with cluster-expansion/Monte Carlo methods, thermodynamic integration, or elastic-constant calculations. Knowledge of high-pressure mineral
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theoretical and computational methodologies for the investigation of correlated molecular systems. The activities will include the use of Density Matrix Renormalization Group (DMRG) methods and Quantum Monte
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Mathematics, and Statistics mirroring the School’s strong research programs. It has particular strengths in Algebra, Analysis, Combinatorics, Geometry, Mathematical Physics and Number Theory, Bayesian and Monte