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topics broadly cover how companies build and retain sustained competitive advantage in the face of current business- and societal challenges. Overall, we are looking for a candidate who is eager to learn
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) Observer design Data-driven approaches Machine learning methods Fault detection and isolation This PhD position is part of the project on ‘Holistic Design Automation for Semiconductor Manufacturing Equipment
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to innovation and transition in action. Next to working in the context of the larger Ombion-CPBT project, as a PhD researcher you will have the opportunity to acquire and develop reflexive, participatory and
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yourself. Independent researcher: You are interested in mixed-methods research and are willing to learn a new research methods and take responsibility in its execution. Curious and open-minded: You have
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, as well as the integration of language as a modality for evaluation, reasoning, and interpretability. One goal of the project is to develop public datasets and benchmarks specifically designed
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of the 3‑year timeframe. Why Radboudumc? At Radboudumc, you combine clinical relevance with cutting‑edge science in an environment where collaboration and innovation are central. You will have ample
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measurements. A key element of the project is the development of an interactive supply chain simulation game that serves as an experimental research platform (https://msgames.in/ ). In addition, you will design
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emerging field with your insights. You will learn how to design chemical reaction networks at material interfaces and become a forerunner in chemically-programmable coatings. Briefly, the core objective of
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join the Theory of Computer Science group at the Informatics Institute. This PhD project aims to push the boundaries of our understanding of the feasibility of MPC protocols, as well as design more
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, you will tackle the fundamental challenge of controlling selectivity in multi-step biomass conversions through smart multi-catalyst, multi-reactor design. You will contribute to the Sustainable Process