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coupled nuclear engineering problems, using techniques such as (but not limited to) molecular dynamics, computational fluid dynamics, activation decay codes, kinetic Monte Carlo codes, particle transport
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. Knowledge of statistical analysis and Markov Chain Monte Carlo Experience with machine learning Ability to work independently and in collaborations Language requirement: Good oral and written communication
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. The Subatech Laboratory developed over the past ten years some expertise in the simulation of nuclear reactor cores using Monte-Carlo approaches with a special interest in decay heat calculations. The Cocodrilo
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integration of simulation and AI-based analysis. An analytical Monte Carlo-inspired simulator will optimize system geometry and acquisition parameters, support sensitivity studies, and serve as a forward
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skills with Python. Desirable qualifications: Previous experiences with kinetic Monte Carlo. Previous experience with machine learning applications in molecular modelling, including experience with
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for immobilizing these ions. Modern methods of theoretical chemistry (first principles, kinetic Monte Carlo, machine learning) will be applied to investigate diffusion phenomena and link speciation with
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. These methods must be embedded in an iterative procedure to compute the final design and are based on Monte-Carlo simulation. They are known to have slow convergence. Using the Hamiltonian structure of the system
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understanding of the phenomenon and will include stochastic algorithms such as Markov Chain Monte Carlo enabling inclusion of uncertainty analysis and recovery of the AM onset and its rating [1] as probability
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CFD or kinetic-scale particle methods such as Direct simulation Monte Carlo (DSMC) is preferred. This position requires the candidate to be a U.S. citizen. The salary will be commensurate with
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6 Jan 2026 Job Information Organisation/Company Universidade dos Açores Research Field Other Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Portugal Application