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the chemical structure alone. Once established, we will expand the self-driving labs to measure more complex properties such as foaming, phase separation or particle formation, and fine-tune our AI models. In
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, viscosity, and surface or interfacial tension. We will train a range of AI models to allow us to predict these properties from the chemical structure alone. Once established, we will expand the self-driving
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novel cross-sectoral collaborative governance approaches to co-create dynamic adaptive pathways for several cases in the Netherlands. Such pathways create impact through the iterative co-development of a
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organisational structure. The institute focuses its research on three themes: data science, digital security and software science. Each of these themes spans the full breadth from fundamental research
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you like to contribute to an increased understanding of carbon cycle feedbacks in the climate system? Do you thrive in the dynamic blend of seagoing fieldwork, laboratory experiments and modelling? As a
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dynamic interdisciplinary research institute that brings together chemistry and physics to unravel the mysteries of atomic, molecular and solid-state environments. The institute strives to make a positive