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Profile Recognised Researcher (R2) Positions PhD Positions Application Deadline 27 Apr 2026 - 18:00 (Europe/Rome) Country Italy Type of Contract Temporary Job Status Negotiable Is the job funded through
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: Conduct original research within the fields of Semantic Technologies and Artificial Intelligence, resulting in a PhD thesis. Collaborate with other PhD candidates, postdocs, and societal partners across
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Saunders Application Deadline: 28 May 2026 Details We are seeking an outstanding PhD student to join the POLARIS/SPIRO group at the University of Sheffield to develop next-generation Artificial Intelligence
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9 Apr 2026 Job Information Organisation/Company IMEC Research Field Computer science Engineering » Electrical engineering Researcher Profile Recognised Researcher (R2) Positions PhD Positions
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Qualifications: The successful candidate must hold a PhD in Computer Science, Artificial Intelligence, or a closely related field, and demonstrate a strong background in computer vision and machine learning
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, delivered across the CDT partner universities. For further information about the CDT programme, please visit the CDT website at https://www.fusion-engineering-cdt.ac.uk/training-fusioneers/programme/ or send
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, interdisciplinary initiatives, and industry partnerships at national, European, and international levels. Qualifications: PhD in Mechanical, Electrical, Computer, Civil and Environmental Engineering, or a closely
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) Existing Vacancy: Yes Description: Course Code:KIN8247H: Artificial Intelligence in Sport Analytics Course description: This course provides a hands-on exploration of artificial intelligence (AI) and machine
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Description Pictus PhD Fellowship Programme Czech Technical University in Prague – International PhD Programme (PICTUS) will recruit a total of 23 PhD students (see Eligibility criteria below) for a full 48
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to provide the skills needed to analyze, develop, and contribute to the interdisciplinary area of artificial intelligence, autonomous systems and software. Through an ambitious program with research visits