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14 Nov 2025 Job Information Organisation/Company Artois University Research Field Engineering » Civil engineering Engineering » Materials engineering Researcher Profile Recognised Researcher (R2
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of future Earth scenarios, for example “what if” scenarios; develop advanced embedding strategies and neural compression techniques to efficiently represent high-dimensional EO data for scalable learning and
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Old Dominion University Research Fountation | Norfolk, Virginia | United States | about 10 hours ago
collocation schemes for simulation of 3-D compressible viscous flows on unstructured grids. Our department has a history of producing exceptionally successful, independent, and productive postdocs and PhD
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that includes. Job description: We are seeking an information theorist with an academic background in mathematics or bioinformatics and a specialization in information theory (Shannon entropy, compressibility
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» OtherEducation LevelPhD or equivalent Additional Information Work Location(s) Number of offers available1Company/InstituteItä-Suomen yliopistoCountryFinlandCityKuopioGeofield Contact City Kuopio Website https
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Information Website for additional job details https://www.academictransfer.com/356779/ Work Location(s) Number of offers available1Company/InstituteTU DelftCountryNetherlandsCityDelftPostal
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(contact information only) Apply link: https://aprecruit.ucmerced.edu/JPF02022 Help contact: snspersonnel@ucmerced.edu About UC Merced As a condition of employment, the finalist will be required to disclose
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months) Holiday Entitlement: 33 days annual leave plus 9 buildings closed days (and Christmas Eve when it falls on a weekday) Purpose of Role The Laboratory of Ultrafast Physics and Optics (LUPO, https
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, including filament extrusion, compression molding, injection molding, and fused deposition modeling. This position requires the preparation of ISO/ASTM test specimens for mechanical (tensile and flexural
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Laboratory (ORNL) is seeking several qualified applicants for postdoctoral positions related to Computational Methods for Data Reduction. Topics include data compression and reconstruction, data movement