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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 | 2 months 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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Two-year postdoc position (M/F) in signal processing and Monte Carlo methods applied to epidemiology
and theoretical questions related to statistical modeling, prior design in the Bayesian framework, convex and non convex optimization, stochastic optimization. He/she is expected to develop commented
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other type of approach (deterministic or stochastic) motivated by the nature of the data. Calibrate models based on data (data-driven modeling). Perform theoretical analysis of the models. Participate in
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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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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | 14 days ago
Generative Modeling through Stochastic Differential Equations.” ICLR. [4] Pidstrigach, Jakiw. 2022. “Score-Based Generative Models Detect Manifolds.” NeurIPS. [5] Dupuis, Benjamin, Dario Shariatian, Maxime
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range of backgrounds from theoretical physics to pure mathematics, with (most likely) a background in (conformal) random geometry or stochastic partial differential equations or free probability