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and neural networks for chemical property prediction. You will be part of the Big Chemistry consortium and will also be involved in training and teaching BSc and MSc students (10% of your working time
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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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robotic systems and AI models. You will learn how to programme advanced robotic systems and how to implement aspects of deep learning and neural networks for chemical property prediction. You will be part
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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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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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. 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