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"Phase-space-inspired numerical methods for high-frequency wave scattering: from semiclassical analysis through numerical analysis to implementation". The design of fast and reliable algorithms
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experience, in a relevant numerate subject, for example, mathematics, operational research, statistics or economics. Ideally, you should have an emerging track record of peer-reviewed publications and research
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to the design, implementation, and scientific exploitation of numerous satellite missions. CESBIO is a Unité Mixte de Recherche (Joint Research Unit) bringing together the CNES, CNRS, IRD, and the University
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Posting Details Student Title Classification Information Quick Link https://chapman.peopleadmin.com/postings/39133 Job Number SE179024 Position Information Department or Unit Name Fowler School
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management, with a particular focus on computational methods. What we offer the successful candidate Do you want to become a research leader of tomorrow through pioneering projects and research ideas? If so
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the combination of Time Spectral Method with Bloch analysis. Integration within the FairCFD Network Within the FairCFD network, you will contribute mainly to WP1, Efficient physics-based numerical methods, and WP2
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optical and photoacoustic nanoscopy methods for biomedical applications and study of underlying physical phenomena Experimental and numerical study of light-sound-matter interactions Participation in
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
growth, skill development and lifelong learning and enjoy exclusive perks for numerous retail, restaurant and performing arts discounts, savings on local child care centers and special rates on select
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Numerical relativity, machine learning Where to apply
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complementary data from other Mars missions to strengthen current models and provide comparative insights that enhance research conclusions from Hope observations. Develop Machine Learning methods and run