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modeling, geometric deep learning or physics-informed machine learning, or you are willing to learn these quickly; strong collaboration skills: you enjoy working in a multidisciplinary team and feel
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velocity anomalies (Vp, Vp/Vs). These observations will be quantitatively compared with model predictions to test whether the system is dominated by the geometric interactions of the faults, the rheological
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companies. The research will integrate techniques of numerical analysis and structure-preserving algorithms to generative modeling in AI. It will build upon the work done at IMF and SINTEF in this field. We
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generating functions, and discovered algebraic P-fields, initiating an algebraic-geometric construction of A-model Landau–Ginzburg string theory. His recent interests include the mathematical formulation
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IpèD40/2026 - Large views of small phenomena: decompositions, localizations, and representation type
to develop a theory of mutation at summands of cosilting objects and to investigate multiple interactions, e.g. with the geometric concept of stability, with a topological space originating in model theory
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Free access to UT Austin's libraries and museums with staff ID card Free rides on all UT Shuttle and Austin CapMetro buses with staff ID card About Us The Center for Space Research (https
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magnetic field inhomogeneities, resulting in geometric distortion and signal loss in the images. The aim of the project is to investigate the potential of using Implicit Neural Representation (INR), a class
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Institute of Low Temperature and Structure Research Polish Academy of Sciences | Poland | 2 months ago
polish: adiunkt) position at the ILTSR PAS in the Division of Low Temperature and Superconductivity, contractor of the research project entitled “Heat and Geometry: Investigating the Geometric-Phase Origin
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analysis of the ATLAS experiment data. The L2IT team plays a driving role within the ATLAS collaboration for the reconstruction of charged particle tracks using geometric deep learning (GDL). The person who
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, fabrication data, inspection results and carbon footprint information. Develop, train and validate AI models to automate QA/QC processes, enabling real-time verification, anomaly detection and consistency