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(Postdoctoral research fellow) to lead research tasks aiming to develop novel numerical approaches for a multiscale flow system. The research focuses on achieving a highly accurate and efficient computational
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of numerical optimization is an advantage. Experience from high-performance computing is an advantage. Applicants must be able to work independently and in a structured manner and demonstrate good collaborative
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theory of the finite element method is an advantage. Competence in the theory of numerical optimization is an advantage. Experience from high-performance computing is an advantage. Applicants must be able
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or physics. It is a condition of employment that the doctoral degree has been awarded. Experience from the finite-element method is a requirement. Experience from computational structural dynamics is a
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, Dr Eder Zavala, and Prof. Marcus Tindall Location: University of Reading, UK Duration: 3 years Start date: August 2026 at latest The students will be enrolled in the structured PhD programme at
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of Artificial intelligence, Machine learning, Numerical simulation, Formal verification. Such methods include, among the others: AI-guided simulation of the mathematical models of the patho-physiology and PK/PD
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in the structured PhD programme at the Department of Mathematics & Statistics (https://www.reading.ac.uk/maths-and-stats/ ) About the project/work tasks: This position is part of: 19 PhD Fellowships
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complementary and synergic methods at the intersection of Artificial intelligence, Machine learning, Numerical simulation, Formal verification. Such methods include, among the others: AI-guided simulation
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the subject area. Reflection material should grant others access to the working methods and insights that the artistic research generates. Applications will be assessed based on the criteria outlined in the program
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of Norway (2025-2030). It comprises more than 200 faculty members from many higher education institutions in Norway, in collaboration with numerous public and private sector partners. The primary objective