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to the adaptation of the Environmental Noise Directive for these new technologies. Your main focus will be to develop machine learning-based drone noise models that will be able to generate an accoustic footprint
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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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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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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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, 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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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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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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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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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