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of the UMC Utrecht is seeking an enthusiastic and ambitious PhD candidate. In this project, you will focus on developing, validating, and applying fine-grained natural language processing (NLP) and large
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, to create a unified and reliable representation of structural integrity. The work expands on TU/e’s contributions by developing algorithmic components for detection and classification of defects and anomalies
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infrastructure by developing integrated, physics-informed data-driven methods that provide early insight into pipe failure risk. Research challenges Despite increasing data availability, there is still lack of
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of an integrated theory that explains individual variation in language acquisition across development. Job description The PhD candidate will be appointed within the Department of Developmental Psychology at Tilburg
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screening. You join an interdisciplinary research environment within Radboudumc. Your work directly contributes to developing personalised treatment strategies for OA. The project is already well underway
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PhD candidate on Interprofessional Learning and Team Resilience through the Electronic Health Record
interprofessional care teams in making optimal use of available healthcare information for care optimisation. Your colleagues: You will be based at the Department of Educational Development and Research and the
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enthusiastic early‑career researcher eager to develop quantitative, spatially explicit models that support climate‑resilient urban planning? Do you want to work at the intersection of Industrial Ecology, GIS
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the ERC Synergy DISRUPT project, which aims to fundamentally rethink PLL architectures and develop new circuit techniques that significantly improve spectral purity, robustness, and efficiency. The research
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of the observation receiver used to measure the transmitter output and extract distortion information. This position is part of the ERC Synergy DISRUPT project, which aims to develop new architectures for observing
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. In many cases, inoculated microorganisms are rapidly outcompeted by native microbial communities, limiting their long-term impact. This PhD project aims to develop engineering solutions for effective