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Sensing (DAS) data processing and compression using ML Physics-driven machine learning for geophysical modeling and inversion Thus, the candidate is expected to have or about to have a PhD in a relevant
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8 Feb 2026 Job Information Organisation/Company University of Oslo Research Field Chemistry Technology Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 1
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8 Feb 2026 Job Information Organisation/Company University of Oslo Research Field Astronomy » Astrophysics Physics Other Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions
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enforcing quantitative validation against helioseismic constraints. The project combines surface-cooling-driven convection, compressible fluid dynamics, and magnetic fields in ultra-high-resolution models
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based on gas compression become inefficient or impractical, as suitable compressible gases no longer exist and the required infrastructure becomes prohibitively complex and energy intensive. Solid-state
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contact information for two referees Attachments must be uploaded as separate files. If the attachments exceed 30 MB, they must be compressed prior to upload. It is the applicant's responsibility to ensure
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develop new techniques for optimisation/modification of the laser pulse parameters, such as pulse focusing, filamentation, chirping, and temporal compression. Validate computational codes and implement
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We are looking for a researcher, whose expertise lies in Discontinuous Galerkin discretisations, compressible flows, and FEniCS/Firedrake/Dune, to work with Luis Espath & Prof Paul Houston jointly
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geometry, temporal generalization). Computational measures of visual information (e.g., image statistics/compressibility proxies, deep network features, object/scene representations). Position Summary