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Field
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may include, but are not limited to: Artificial Intelligence and Machine Learning in Art History Museums, Collections and AI 3D Scanning and Digital Heritage Extended Reality (VR, AR and Mixed Reality
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Performance . About You Completion or near completion of a PhD in Computer Science, Artificial Intelligence, Digital Media Forensics, Cybersecurity, Data Science, or a closely related discipline. An emerging
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about privacy, trust, transparency, fairness and the appropriate use of artificial intelligence in healthcare. As digital twins become increasingly sophisticated and influential in clinical decision
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artificial intelligence (AI) has shown great promise in helping us identify patterns, make predictions, and drive innovation in manufacturing, understanding how some AI models make their predictions
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Opportunity Join a visionary and collaborative research team driving world-leading advances in melanoma and skin cancer research. Working at the intersection of data science, artificial intelligence, medical
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journals, and contribute to project reporting and collaborative research activities. Qualifications • A PhD in Computer Science, Electrical Engineering, Artificial Intelligence, Applied Mathematics
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such as our new clinical research facility iREACH, data science hub Momentum 1.0, the Centre for Digital Healthcare Technologies (CDHT) and the Artificial Intelligence Collaboration Centre (AICC
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and forms; track project milestones and flag risks or delays. Job Requirements: PhD degree in Data Science, Artificial Intelligence, or a closely related field. Experience with research grant
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of Norway). This position is in Oslo. Machine learning is the mathematical and computational engine of Artificial Intelligence (AI), and therefore it is a fundamental force of technological progress in our
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Extended Reality (XR) and Artificial Intelligence (AI) are changing cultural life, language and communication, wellbeing, identity, heritage and social cohesion practices. About the role You will work with