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implementing AI algorithms to control robot systems Investigating and implementing Bayesian ML methods to quantify decision-making uncertainty Applying the above to industrial assembly and medical diagnostic use
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of prior data?) Additional research topics may include: Algorithmic Transparency and Fairness in Funding Decisions Comparative Analysis of Funding Models AI-Driven Predictive Analytics for Funding Success
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, biomedical sensor and AI algorithm for cancer diagnosis. This project aims to develop a miniaturized robot and bio-sensor for on-site laryngeal cancer diagnosis. The candidate can contribute to one
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strengthen or add to our competences. We encourage interested candidates to explore the section’s website at https://acp.sdu.dk/ for more information. IMADA The section is part of the Department
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, climate solutions and energy efficiency. Learn more about our institute at https://www.sdu.dk/en/mmmi and the centre at https://www.sdu.dk/cis . The Centre is autonomous but will collaborate closely with
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languages. The section is part of the Department of Mathematics and Computer Science, and other research sections at the department are Algorithms Computational Science Data Science and Statistics Geometry
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responsible for: Developing and implementing AI algorithms to control robot systems Investigating and implementing Bayesian ML methods to quantify decision-making uncertainty Applying the above to industrial