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generations. We develop and share knowledge for the requirements of people and our society. This is how we contribute to solving complex social issues and help society move forward. We educate our 19,500
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/microrobots that can move and interact autonomously in 3D environments, mimicking the complex dynamics of microorganisms in fluids. Living systems such as bacteria or algae exhibit remarkable capabilities
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Candidate Human-Centered Interpretable Machine Learning (1.0fte) Project description In recent years, practitioners and researchers have realized that predictions made by machine learning models should be
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). Leiden University offers an attractive benefits package with additional holiday (8%) and end-of-year bonuses (8.3 %), training and career development. Our individual choices model gives you some freedom to
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, enabling breakthroughs such as memory-enhanced quantum communication, entanglement-based quantum networks, long-term quantum information storage, and complex quantum simulations. While these demonstrations
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: How does decoherence emerge in complex quantum systems? Can we emulate and study complex many-body physics? Can we use quantum coherence to realize novel improved sensors? Can we protect quantum states
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. The main objective of this project is to unravel the molecular mechanisms of virus self-assembly. RNA-containing viruses are complex, nanometre sized particles with at their centre proteins covering the RNA
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new models and methods. In this PhD project, you will: develop dynamic supply chain design models that enable the repositioning of AM equipment based on Defence requirements in conflict zones and other
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PhD Student Brain multiregion singlecell transcriptomics of Myalgic Encephalomyelitis/CFSyndrome NIN
candidate who is eager to unravel complex disease mechanisms. You have: A Master’s degree in neuroscience, bioinformatics, biomedical sciences, or a related field. A strong interest in transcriptomics, brain
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to distributed energy resources, enabling energy sharing, reducing grid congestion, and enhancing sustainability. The PhD project will focus on the governance models adopted for energy hub platforms. These include