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data preprocessing, algorithm development, and optimization techniques. Excellent communication skills in English. Prior experience with environmental or photocatalytic systems is a plus. A fully funded
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a collaborative initiative aimed at transforming clinical trial design and evaluation through advanced data science, automation, and simulation technologies. Central to this project is the development
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at the KU Leuven, within the Biomed lab (https://biomed-kuleuven.web.app/research ) to develop new trustworthy AI algorithms for fracture detection based on novel photon counting CT technology. Particularly
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Description The field of combinatorial optimization is concerned with developing generic tools that take a declarative problem description andautomatically compute an optimal solution to it. Often, users
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Software Development, Data structures and algorithms, symbolic AI, statistics and data management, with a clear commitment to the quality of the programme as a whole. All professors are expected to teach a
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off-the-shelf sensors and the development of resilient algorithms that combine first-principles modeling with modern machine learning techniques. The goal is to push the boundaries of robust perception