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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | 3 months 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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English language. Good theoretical background in electrochemistry and electrochemical processes Knowledge of applied mathematical modelling, in particular numerical solution of partial differential equations
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, scientific computation, probability, optimal control, ordinary, partial, and stochastic differential equations, and dynamical systems; and applications of mathematics to biology, finance, and industrial
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mathematics, physics, computer science, engineering, or a related quantitative field. Strong knowledge of differential equations and applied mathematical modeling. Proficiency in at least one scientific
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affect dynamic systems such as turbulence, water waves, and compressible fluid motion. The research will focus on hyperbolic-parabolic partial differential equations, nonlinear wave equations, and
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 2 months ago
, non-linear partial differential equations, harmonic analysis, geometric analysis, mathematical data science, computational mathematics, mathematical physics, probability/stochastics, and applied
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, optimization, partial differential equations and topological data analysis. Currently, there are about 25 graduate students within the subject Mathematics and about 30 graduate students within the subject
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Australian National University | Canberra, Australian Capital Territory | Australia | about 1 month ago
, representation theory, number theory, algebraic and geometric topology, non-linear partial differential equations, harmonic analysis, geometric analysis, mathematical data science, computational mathematics
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of partial differential equations (PDE). Examples of models in the scope of the project include particle models, stochastic PDE and models from fluid dynamics and machine learning. What skills are important in
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partial differential equations; Strong interest in working in a cross-disciplinary, collaborative project at the interface of electrochemistry and mathematical modelling; Knowledge of electrochemical