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if you perform well. We encourage development and internal mobility within our organisation. Our recruitment and selection policy sets out the conditions that apply specifically to you as a (former
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for good workplaces. The University will also provide you with a laptop and a mobile telephone. For more information about employment conditions, see https://www.universiteitleiden.nl/en/working-at/job
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clinical, sequencing data, and circulating biomarkers, the project aims to: Develop and validate advanced machine learning models for the stratification and diagnosis of ANOCA; Provide cell-type–resolved and
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and temporal coverage. This PhD project addresses these challenges by developing innovative methods to assess railway embankment health through the integration of multiple monitoring technologies
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. Combining advanced characterization, materials science, and metallurgical insight, you will explore how these elements affect microstructure evolution, processing behaviour, and ultimately material
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information and therefore enable high quality products while preventing waste from production errors. Thus they contribute to healthcare and sustainable food production. This project aims to develop innovative
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Delft, RUG, UTwente, TU/Eindhoven, U Nijmegen, DIFFER, TNO) to develop next generation batteries for ultra-long-duration energy storage. This project will focus on the development of inorganic, hydrogen
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scientific challenges, including how to properly incorporate power systems physics into the foundation AI model architecture, as well as how to develop an architecture that is invariant to the distribution
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technical issues such as voltage problems and network congestion. The way the flexibility provided by DERs and smart buildings can be exploited (e.g., via local flexibility markets) is still in development
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devices comprising hundreds of atoms and multiple magnetic centers, pose a huge dilemma in quantum chemistry between system size and complexity. To overcome this challenge, we will develop a new quantum