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modelling, data assimilation, and multi-scale neural network architectures applied to spatio-temporal data. The development of these methods is motivated by a concrete and important application: inferring gas
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- 12:00 (UTC) Country Sweden Type of Contract To be defined Job Status Full-time Hours Per Week 40 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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of approaching reconstruction and variability analysis. The project combines applied mathematics, computational imaging, and structural biology. You will develop algorithms, implement and test software tools, and
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well as understanding experience in independent project work as well as the ability to work in a team. For this position, it is required that you have strong programming skills and interest in software security. Meriting
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are not limited to, numerical methods of high order, Discontinuous Galerkin methods, path conservative discretisations, efficient time integration, and energy / entropy stable methods. Curvilinear mesh
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research presentations. The exact research direction will be defined jointly with your supervisors. As a PhD student, you devote most of your time to doctoral studies and the research projects of which you
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through publications and research presentations. The exact research direction will be defined jointly with your supervisors. As a PhD student, you devote most of your time to doctoral studies and the
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-scale neural network models. While the developed methods will be broadly applicable, particular emphasis will be put on the problem of inferring gas dynamics in urban environments. Gas dynamics shape air
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communications see our review paper entitled “Semantic Communications in Networked Systems: A Data Significance Perspective” published in IEEE Network, vol. 36, July/August 2022. The project is part of a
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application! We are looking for three (3) PhD students to the new national center for cyber-resilient AI RESIST with the following topics: Secure AI-supported software development Resilient Agentic AI End