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sound like you? You should hold a Master's degree in spatial planning, urban and regional studies, policy and systems analysis, strategy and decision-making, infrastructure management and operations, or a
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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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development schemes. Where you will be working This PhD position is embedded in the High-Energy Physics Department at the Institute for Mathematics, Astrophysics and Particle Physics (IMAPP) at Radboud
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development schemes. Where you will be working This PhD position is embedded in the High-Energy Physics Department at the Institute for Mathematics, Astrophysics and Particle Physics (IMAPP) at Radboud
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motivation to conduct interdisciplinary empirical research at the intersection of developmental psychology and cognitive neuroscience. You have experience with quantitative data analysis techniques such as
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conduct interdisciplinary empirical research at the intersection of developmental psychology and cognitive neuroscience. You have experience with quantitative data analysis techniques such as Matlab
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. In this project, you will study how this impacts the anaerobic removal of methane. You will use state-of-the-art techniques for sampling and analysis (e.g. benthic lander incubations, synchrotron-based