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, citizen engagement, and ethical AI. You will focus on developing, testing and reviewing a methodology to make AI systems transparent and explainable. The goal is to empower citizens and professional
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this specific structured data. How can we perform inference tasks to learn hidden patterns, like community structure or hidden hierarchies? How can we incorporate domain knowledge to design interpretable models
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model of the non-transparent structure. Using this approach, we aim to build a microscope that can look inside very complex materials without loss of image quality. Your role is to build flexible 3-D ray
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, express, purify, and study these to elucidate the relation between IBP structure and function and explore the application potential of IBPs as cryoprotectants. In this project you will combine computational
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types that reflect related biological mechanisms, such as proteomics, metabolomics, and transcriptomics. Latent variable models are widely used for identifying the underlying structure in such high
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systems research. Our ambition is to provide a scientific basis for design trajectories of electronic systems, ranging from digital circuits to cyber-physical systems. The trajectories are constructive and
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-stage technologies. This project aims to address that gap. Building on previous work with ex-ante and constructive sustainability assessments, seeks to align impact assessment methods with a Responsible
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complex international supply chains where many business partners are located outside of the EU. This PhD research will explore how authorities can build upon these embedded controls by businesses
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KNAW Van Leersum Grant The Van Leersum Grant is named after P. van Leersum, a corresponding member of the Academy. His estate and the estate of Mrs I.G. Harbers-Kramer make up the Van Leersum Fund
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intergenerational transmission of poverty and the role of social programs. The main aim of the Vici project is to transform our understanding of income support by causally identifying how its structure and scope