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Field
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research involves complex information systems at large, with a focus on collaborative, data driven, computational and intelligent systems, all with a strong interactive component. The INtelligent Data
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the world. Code Review Efficacy The reviewing track will explore ways to make code reviewing more effective and efficient. A major element is how LLM tools relate to reviewing, either when code is produced by
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Centre for Cognitive Science and Artificial Intelligence at Tilburg University. The project will be supervised by Dr. Koen Haak and involve collaborating closely with a postdoctoral researcher, the group
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, data driven, computational and intelligent systems, all with a strong interactive component. The INtelligent Data Engineering Lab (INDElab) investigates intelligent systems that support people in
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on construction and performance indicators. This will require an insight into how to fully automate the discrete topology design synthesis process across system levels and how to learn component descriptions and
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and integrates two crucial elements for the breakthrough and impact of Additive Manufacturing: Standardization and Intellectual Property (IP). Aiming for both theoretical and practical contributions
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responses in vitro. Combined, these results will provide a unique insight into the sensory mechanisms underlying the coevolution of insect and plants, which is a major driving factor of biodiversity and has
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the component lifecycle directly contributing to a more circular economy. Information In the manufacturing landscape, determining whether a component should be repaired, reused, or discarded requires
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elements/agents, adjusting expectations, mechanisms of contagion dynamics, feedback loops, and non-linear tipping of system dynamics. The SPHINX research program aims to fundamentally advance simulation
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. The project will have a strong quantitative component relying on computer science, machine learning, policy evaluation and causal inference. In addition, it will also contain a strong business component, in