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Associate I, Information Science Posting Number req25315 Department Information Science Department Website Link https://infosci.arizona.edu/ Location Tucson Campus Address Tucson, AZ USA Position Highlights
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to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR8197-VALHER-223/Default.aspx Requirements Research FieldMathematicsEducation LevelPhD or equivalent LanguagesFRENCHLevelBasic Research
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Comparative evaluation procedure based on qualifications and interview. Website for additional job details https://uniroma3.traspare.com/albo Work Location(s) Number of offers available1Company
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Astrophysics/Computer Science. The successful applicant will join the star and planet formation research group led by Dr Emma Whelan. For more information on the work of the group please see https
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 5 days ago
28 Mar 2026 Job Information Organisation/Company IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava Research Field Computer science Researcher Profile First Stage
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 5 days ago
28 Mar 2026 Job Information Organisation/Company IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava Research Field Computer science Researcher Profile First Stage
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Ref no: ORU 2.1.1-01454/2026 We are looking for a postdoctoral researcher in Computer Science for a fixed-term position at the School of Science and Technology. Subject area The subject area for
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modeling, and AI experts, as part of the international project M2 LInES (https://m2lines.github.io) . You can read about some of our recent work here: Dheeshjith et al. 2025 , Duncan et al. 2025 , Pedersen
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. in computer science or a related field and will have prior experience collaborating with large, interdisciplinary teams. The candidate will be a strong self-starter who is capable of both working
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research directions while collaborating with a team composed of domain scientists, experts in climate physics and modeling, and AI, as part of the international project, M2 LInES https://m2lines.github.io