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you eager to make AI more sustainable? As a PhD Candidate, you will develop innovative methods for predicting and reducing the energy consumption of large-scale AI systems during their design phase
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-throughput experiments to train AI tools to predict properties of complex mixtures? Then join our team as a PhD candidate! Chemistry is a science of mixtures. Whether you think of complex formulations for drug
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want to contribute to the next level of self-driving labs? Are you excited about the application of high-throughput experiments to train AI tools to predict properties of complex mixtures? Then join our
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, optically-pumped magnetometers, to understand how early learning develops. You will address how caregivers’ behaviour influences infants’ learning and how early differences in learning predict language and
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early differences in learning predict language and social skills later. Insights from this project can provide knowledge for early interventions to foster learning in infancy, with potential to support
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New LHC Triggers’, which is funded by the Dutch Research Council (NWO). The main goal of this project is to develop theory predictions and new searches for dark matter bound states in the ATLAS
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New LHC Triggers’, which is funded by the Dutch Research Council (NWO). The main goal of this project is to develop theory predictions and new searches for dark matter bound states in the ATLAS