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4th August 2025 Languages English Norsk Bokmål English English PhD Fellowship in Information Technology, Artificial Intelligence in Medicine Apply for this job See advertisement Job description The
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/Artificial Intelligence Apply for this job See advertisement About the position Position as PhD Research Fellow in Machine Learning/Artificial Intelligence for Planetary Ground Penetrating Radar available
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15th September 2025 Languages English Norsk Bokmål English English PhD Research Fellow in Digital Sociology/Sociology of Artificial Intelligence Apply for this job See advertisement About the
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PhD Research Fellowships: Artificial Intelligence Adoption, Sustainable Finance, and Twin Transition
20th June 2025 Languages English English English The Inland School of Business and Social Sciences invites candidates to apply for three PhD Research Fellowships: Artificial Intelligence Adoption
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infrastructure security R&D. Job Requirements: A PhD in Computer Science, Software Engineering, Artificial Intelligence, or a related discipline. Proven research track record demonstrated by publications in top
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requirements: PhD degree in Computer Science, Electrical and Electronic Engineering, or related field. At least 3 years of relevant experience in computer vision, artificial intelligence, etc. Proficiency in
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papers Contributing to quarterly and annual report writing and presenting Job Requirements: PhD degree in Artificial Intelligence, Computer Science, Software Engineering Strong background and research
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technologies, analytics, and artificial intelligence in the healthcare sector. Candidates with a strong background in their disciplinary theories are preferred. We welcome applications from candidates motivated
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engineering, artificial intelligence, advanced communications and cybersecurity capabilities for future urban mobility applications. We aim to develop innovative solutions that can be commercialized
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artificial intelligence methodologies. The successful candidate will work at the forefront of computational biology, developing novel approaches for large-scale genomic data analysis and contributing