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like population growth, climate uncertainties and sustainability transitions. To plan resilient urban spaces that promote social cohesion and well-being in an inclusive way, new methods are needed
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sources. Such modelling provides essential tools for designing low-carbon, efficient, and adaptive energy infrastructures at local level. By leveraging data-driven methods, cities can devise strategies
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the DROPapp by integrating local and scientific knowledge. In this project, you will integrate the local forecasts based on observed local ecological indicators and scientific forecasts based on numerical
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want to contribute to the next level of molecular computing? Are you excited about the application of AI tools to train molecular systems how to process information? Then join our team as a PhD candidate
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working memory contents held within. Second, we will use computational spiking-neuron models to explain the results of the experiments and implement the neural mechanisms responsible. These models will also
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methods in psychopathology. The positions are located in the Department of Theoretical Philosophy ( https://www.rug.nl/filosofie/organization/departments/theoretical/ ) but there are strong ties with
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your motivation letter. This project is part of the 10-year EMBRACER research programme funded by the Dutch Research Council (NWO). At EMBRACER, we work at the very frontiers of knowledge on climate
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science, mathematics, physics, or a related field. You have affinity with numerical modelling, preferably atmospheric modelling or climate modelling, and mathematical theory of dynamical systems. You have
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prior research experience in sociology - including a robust command of social science methods (e.g. ethnography, interviewing, policy/discourse analysis) and thorough theoretical expertise in cultural
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evolution for decades. Yet, with the rise of modern cutting-edge technologies, we can now use novel, data-driven methods to explore the ancient past and unpack the origin of language. This PhD position