3 algorithm-development-"St"-"St" positions at "Alexandru Ioan Cuza" University of Iasi in Austria
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— which is a fundamental Partial Differential Equation (PDE) that captures the time evolution of probability distributions in systems driven by stochastic processes with Brownian motion. It plays a crucial
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. The goal is to design innovative assimilation schemes using nonlinear approximation tools—such as neural networks, spline functions, or Gaussian random fields. The core challenge? Developing methods
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and thin boundary layers, which pose serious challenges for numerical approximation. This project aims to develop a rigorous mathematical framework to better understand how Physics-Informed Neural
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