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singular elliptic and parabolic PDEs, free boundary problems, optimal control of free boundary systems with distributed parameters. Current areas of interest include Potential Theory, Harmonic Analysis
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lead sophisticated multimodal bioinformatics integration and analysis, collaborating daily with a diverse team of computational scientists and clinicians to translate complex data into actionable cancer
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in this project, you will develop DSS and harmonize data collection protocols for sustainability and circularity assessment. These will be integrated into a manufacturing digital twin of laser
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connection of information systems to enable the exchange of data from operations to sustainability-based decision support. As a Postdoc researcher in this project, you will develop DSS and harmonize data
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 1 month ago
of the direct ECT problem. The direct ECT problem essentially consists in solving the 3D Maxwell equations, in the harmonic regime, within an heterogeneous medium. The medium, whose geometry may be complex, is
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connection of information systems to enable the exchange of data from operations to sustainability-based decision support. As a Postdoc researcher in this project, you will develop DSS and harmonize data
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of harmonic analysis, partial differential equations, and mathematical physics. The problems to be studied include, but not limited to • Homogenization theory of partial differential equations. • Boundary value
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complementary monitoring techniques into robust best‑practice frameworks. Your tasks Coordinate eDNA workflows: Liaise with consortium partners to harmonize sampling protocols, sequencing pipelines, and data
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 6 hours ago
involves processing and harmonizing high-resolution NASA EO data. Subsequently, we will architect and train an ensemble of deep learning and statistical models capable of identifying key wildfire drivers and
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The SSHRC-funded HubMeta Lab project is undertaking the largest-ever meta-analysis of SME growth studies (over 2,500 full-text articles coded to date). We have uncovered extraordinary variability in