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Field
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performance with classical methods. Qualifications PhD in Physics, Computer Science, Applied Mathematics, or related fields. Strong background in at least one of the following: machine learning, quantum
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kinetic models and their hydrodynamic limits. Dispersive phenomena in kinetic theory. Quantum gases. Applicants must hold a PhD degree in mathematics, physics or a related field. We seek candidates with
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presentations to stakeholders 3. Contribute to funder reporting Qualifications Must have a PhD or equivalent in applied mathematics, statistics, biophysics, or similar. Must be able to undertake full-time
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for 12 months and is available from 1st October 2026. The successful candidate will be based in the School of Mathematics and Statistics at the Open University campus in Milton Keynes. https
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Parks. The appointee may work on one or multiple additional ongoing lab projects, depending upon interests and past experience; opportunities also exist to collaborate with mathematical modelers, remote
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conferences and publish results in peer-reviewed journals. Specific questions can be directed to: Ruirui Liu, PhD Assistant Professor, Radiation Oncology ruliu@unmc.edu Interested candidates may apply with
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-time postdoctoral grant in Probability and Statistical Physics - CY Cergy Paris University Mathematical modelling of complex systems often involves combining deterministic structures with probabilistic
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. Criteria of candidates: PhD in Chemical/Mechanical Engineering, Energy, Applied Chemistry, Applied Mathematics, Physics, or related disciplines, with a focus on reactor and process design and development
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École nationale des ponts et chaussées | Champs sur Marne, le de France | France | about 2 months ago
learning to automatically build models from experimental data while directly embedding physical and mathematical knowledge within the learning architecture. This hybrid approach produces more reliable models
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undergraduates. Postdocs benefit from strong interactions with experts in applied mathematics, computer science, device physics, materials science, and statistics, as well as access to world-leading supercomputing