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Field
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within the ANITI HUCAD project which aims to develop Artificial Intelligence (AI) systems fostering human-machine collaboration for effective deliberations. It aims to enhance the argumentation
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aimed at developing novel Artificial Intelligence–based methods and software to assist physicians with: Disease classification Treatment decision support What-if analyses. Although the developed methods
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addressing critical data and research gaps through advanced artificial intelligence (AI). Despite its importance, paediatric healthcare remains under-researched, particularly in areas like rare diseases
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. To fully understand these developments, this project explores the processes underlying reading and reading education, and examines how recent advances in artificial intelligence, particularly generative AI
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artificial intelligence (AI) researchers. Publish findings in high-impact journals and present at international conferences. Expected Outcomes: A partially explainable AI model for context-aware NIBP
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science, (search) game theory, law, data engineering, Artificial Intelligence (AI), governance, organization sciences and serious gaming to help Dutch governmental organizations, critical maritime
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for the built environment. Particular emphasis is placed on artificial intelligence in construction, building information modelling, point cloud capturing and processing, as well as construction robotics. The PhD
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will be considered on a case-by-case basis. The scholarship is funded by G-Research. Research focus The PhD topic must focus on Artificial Intelligence (AI) in relation to the research areas of one
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field such as Biomedical Engineering, Technical Medicine, (Applied) Physics, Computer Science, Artificial Intelligence, or a related discipline. You are eager to work in a clinical environment (Radiology
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business analytics, operations research, operations/supply chain management, machine learning, artificial intelligence, or related fields by September 2026. Preference will be given to those with a proven