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thermal bath and an external energy source (e.g. an electromagnetic force, such as an electrostatic force, a light beam, or an electron beam). Within the framework of stochastic thermodynamics, the goal is
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The project involves developing and analyzing stochastic
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 25 days ago
the analysis of growth variability from single-cell data, by combining structured branching processes [2, 3] with models of bacterial growth [4] at the single-cell level. We will obtain a new class of stochastic
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Bayesian statistics, stochastic modeling, and optimization under uncertainty • Proficiency in Python programming • Strong interest in applied and transferable research • Knowledge of industrial simulation
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approaches to quantum field theory, stochastic partial differential equations, rigorous approaches to the renormalization group, and related areas will receive special consideration. The IHES scientific
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approaches to quantum field theory, stochastic partial differential equations, rigorous approaches to the renormalization group, and related areas will receive special consideration. The IHES scientific
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appreciated. - Advanced statistical modeling (GLMMs, state-space models, stochastic Bayesian programming) in R - Experience with bioinformatics, if possible experience in the use of RAD-seq and/or lcWGS data
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are usually generated by a combination of a deterministic low frequency part and a stochastic high frequency component. We target principally two recent earthquakes; 2023 Turkish sequences and 2024 Noto, Japan
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 1 month ago
). You will build a robust framework to predict the multiscale behaviour of granular media with rigorous scale-bridging techniques based on stochastic homogenisation and benchmarked against available
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modeling tools and solvers (e.g., Pyomo, Gurobi, CPLEX). Knowledge of uncertainty modeling, robust or stochastic optimization is a strong asset. Practical Experience Experience applying optimization methods