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skills to model and design optical systems for sustainable high-tech devices for billions of people? Do you like to develop and analyze numerical methods for partial differential equations? Information
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at Radboud University (Nijmegen, Netherlands) is seeking a PhD candidate with a strong background in the analysis of partial differential equations. The project will be supervised by Dr Stefanie Sonner, is
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ReGroStaFT, which develops rigorous mathematical approaches to renormalization and coarse-graining for models from statistical physics, particle systems, and stochastic partial differential equations
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, and partial differential equations. The findings will be published in peer reviewed journals and presented by the postdoc at research conferences, workshops, and outreach events. Candidates should
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computing tasks such as combinatorial optimisation tasks and solving partial/ordinary differential equations with ONNs. Design and tapeout ONN chips (at least two tapeouts) as proof of concept. Explore ONN
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equations or free probability or quantum dynamics. Additional comments . Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR8023-DENBER-002/Default.aspx Work Location(s) Number of offers
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Matrix Theory, Stochastic Differential Equations and Stochastic Processes, Partial Differential Equations and Industrial Mathematics, Topology and Dynamical Systems, Statistics and Applied Statistics
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, Stochastic Differential Equations and Stochastic Processes, Partial Differential Equations and Industrial Mathematics, Topology and Dynamical Systems, Statistics and Applied Statistics, Numerical Analysis
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are looking for a strong candidate to work in a team on the interdisciplinary StochMan project that integrates elements of stochastic analysis, geometry, partial differential equations, and computational
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of biomathematics, biostatistics, spatial modeling, differential equations, Bayesian inference, large-scale computational methods, bioinformatics, data science, machine learning, optimisation, numerical methods