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: Admission requirements: Bachelor's degree in Computer Science, Artificial Intelligence, Data Science or equivalent. The awarding of the fellowship is dependent on the applicants' enrolment in study cycle
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to multidisciplinary teamwork, and guide students in applied research and system development. Job Requirements: Educational Background Bachelor’s, Master’s, or Ph.D. in Computer Science, Artificial Intelligence, Machine
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-EST-2AI-BIED-1 Is the Job related to staff position within a Research Infrastructure? No Offer Description The Applied Artificial Intelligence Laboratory (2Ai), an R&D unit of the School of Technology
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-EST-2AI-BIEM-1 Is the Job related to staff position within a Research Infrastructure? No Offer Description The Laboratory of Applied Artificial Intelligence (2Ai), a R&D unit of the School of Technology
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Artificial Intelligence (2Ai), a R&D unit of the School of Technology (EST) of the Polytechnic Institute of Cávado and Ave (IPCA), open a call for one (1) Research Grant Scholarship for Master, within
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, FOR ADMISSION TO THE PhD COURSE IN INDUSTRIAL AND INFORMATION ENGINEERING AND ECONOMICS – FOR no. 2 POSITION WITH SCHOLARSHIP: - 1 grant aimed at carrying out research concerning: “Artificial Intelligence (AI
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Website https://concourschercheurs2026.dsi.cnrs.fr/index.php?langue=uk Requirements Research FieldPhysicsEducation LevelPhD or equivalent LanguagesFRENCHLevelBasic Research FieldPhysicsYears of Research
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artificial intelligence and to constant technological, economic, and social change. Aiming to become a leading international institution with a focus on artificial intelligence, UTN is equally committed
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the Undergraduate Program in Artificial Intelligence in Medicine (UPAIM). Contract type: Full-time Job Description Taipei Medical University is looking for a motivated member with Ph.D. degree with outstanding
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growing field of artificial intelligence. Through courses and projects that focus on applied machine learning, artificial intelligence, data management, data analysis, and data visualization, students learn