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candidate with a strong background in some aspect of numerical analysis for PDEs and an interest in scientific machine learning and probabilistic methods, who enjoys working in collaborative inter
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and ML driven screening and optimization workflow to improve the generality of modern synthetic methods. Our first objective is to identify structural patterns and scaffolds that are accessible by
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design scalable numerical methods for quantum master equations, implement high-performance simulations, and help build open-source tools for large-scale spin-system modeling. By improving our ability
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equations, Bayesian inference, large-scale computational methods, bioinformatics, data science, machine learning, optimisation, numerical methods. Please read more about the position and our department on our
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Tensorflow or Pytorch is advantageous Experience in numerical methods for partial differential equations is beneficial Effective communication skills and an interest in contributing to a highly international
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related field Strong background in numerical methods and machine learning Proficiency in at least one programming language (Python, Julia, C++, …) Good analytical skills Good organizational skills and
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University of Warsaw: Faculty of Mathematics, Informatics and Mechanics | Poland | about 22 hours ago
, biomathematics, financial mathematics, numerical methods, mathematical modelling, differential equations, game theory, machine learning Deadline for submitting applications: 20 February 2026 Required documents All
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of multi-physics and mixed-dimensional PDEs. The goal of the research is the development and analysis of computational methods combined with model order reduction methods, including data-driven ones
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could employ a range of research methods depending on their field of expertise. ABD candidates will be considered. Visa sponsorship is not available for this position. In addition, candidates relying
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“ Are you interested in the sustainable use of natural resources and would you like to research and develop new, efficient recycling methods as part of your scientific career? Then the Research Training Group