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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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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, which was established in 1922 and is part of