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Field
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explainable AI (XAI) methods with user-centred interaction design, combine machine learning with alternative AI methodologies (e.g., rule-based reasoning, knowledge graphs, hybrid approaches where relevant
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August, approving a regime for contracting doctorates to stimulate scientific and technological employment in all areas of knowledge (RJEC), in the wording introduced by the first amendment provided Law no
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a PhD thesis on combining symbolic reasoning with modern machine learning to create intelligent systems that can learn, adapt, and reason across domains. As a PhD researcher, you will collaborate with
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. Uses subject matter and best practices knowledge to perform lab and/or research-related duties and tasks. Works independently to assist with project design. Guides data collection, evaluation and
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large medical datasets, and also gain knowledge on how AI can be used in healthcare. The position involves many different types of meetings with other PhD students, researchers, supervisors, and
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description Integreat - the Norwegian Centre for Knowledge-driven Machine Learning at the University of Oslo invites applications for a doctoral research fellowship. The PhD candidate will work at the
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Engineering » Computer engineering Engineering » Electrical engineering Engineering » Knowledge engineering Researcher Profile First Stage Researcher (R1) Application Deadline 29 May 2026 - 23:59 (UTC) Country
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shall: - To apply transdisciplinary research skills and knowledge brokering at the science-policy-society interfaces. The researcher will play a key role as a knowledge broker, facilitating knowledge
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. Personalizing user interactions by building models that adapt explanations to specific knowledge levels and interests of users, so that user modelling and formal reasoning transform opaque decision-making
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of internationally visible, foundational research in AI-driven semantic structure extraction, automated reasoning-flow modeling, and adaptive content generation. The research focuses on methods for analyzing and