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solid knowledge of and show interest in mathematical analysis, partial differential equations and related subjects and is expected to have completed related courses. Documented knowledge in kinetic theory
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Foundation (DFG) project "Kernel interpolation on Riemannian manifolds", led by Dr. Janin Jäger. The project focuses on the mathematical analysis of kernel-based methods, in particular their interpolation and
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simulate, and eventually manipulate wave propagation under realistic scenarios by intertwining analysis and numerics. The proposed doctoral project concerns the mathematical analysis of dispersive phenomena
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or physics or applied mathematics with outstanding grades Excellent knowledge of continuum mechanics and finite element analysis Excellent coding skills Knowledge and experience with fracture and/or
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Do you want to help us make AI more efficient for medicine? If the answer is yes, please continue reading! Join our team! We are looking for a PhD student to work on the topic of shape analysis
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potential market failures and prevention mechanisms. You will be combining theoretical analysis with practical applications, involving mathematical modeling, algorithm development, and coding. You should have
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the PhD student in high-performance computing, computer programming, applied mathematics, fluid mechanics, mathematical modelling and data analysis for large datasets -of the order of 100 Terabytes
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analysis. The project is funded by the Danish National Defence Technology Centre (NFC). The project is a collaboration between DTU, the Alexandra Institute and Copenhagen University’s expertise in AI-driven
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conditions. Profile: Required degree: Master's (M2) in Ecology and Evolution - Specialization: Modeling in ecology and evolution, theoretical ecology Expected skills: - Statistical analysis - Mathematical and
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30th September 2025 Languages English English English 3-year PhD position in applied and computational mathematics Apply for this job See advertisement About NORCE NORCE is a forward-looking