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9 Apr 2026 Job Information Organisation/Company Universidade de Vigo Department T14 Signal and Communications Theory Research Field Engineering » Other Researcher Profile Recognised Researcher (R2
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 24 days ago
https://jobs.inria.fr/public/classic/en/offres/2026-09907 Requirements Skills/Qualifications Good foundation in Software Engineering. Proficiency in OOP is required (knowing of Pharo programming language
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engineering. Rules governing PhD students are set out in the Higher Education Ordinance chapter 5, §§ 1-7 and in Uppsala University's rules and guidelines . Application The application should contain: A cover
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of the Software Engineering unit . About the project This PhD fellowship is part of the national AI Centre for the Empowerment of Human Learning (AI LEARN). AI LEARN is a new Centre dedicated to the empowerment
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for Innovation for Sustainable Composites Engineering launched in 2024: https://www.bristol.ac.uk/composites/cdtsustainablecompeng/ . Research focus areas: Mechanical Engineering, Civil Engineering, Aerospace
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for archiving, indexing and visualization. Our hardware encompasses CPU and GPU-nodes, and software will be designed for both multithreading and horizontal scaling. The PhD student will become part of
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and Delft University of Technology. Curious to learn more about the project? Feel free to visit our website , where you’ll also find other exciting PhD opportunities related to this collaboration. In
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. Read more: https://wasp-sweden.org/graduate-school/ Wallenberg AI, Autonomous Systems and Software Program (WASP) is Sweden’s largest individual research program ever, a major national initiative for
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OF TELECOMMUNICATION ENGINEERING - VIGOCountrySpainGeofield Contact State/Province Pontevedra (Galicia) City Vigo Website https://www.uvigo.gal/ Street Campus universitario, s/n Postal Code 36310 E-Mail estranxeiros
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contexts, or a strong motivation to explore how different groups of learners appropriate AI-based tools. A strong technical background, ideally in computer science, software engineering, human-computer