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aims at developing tools using large language models (LLMs) for the correction of misinformation about climate change in social media. The successful candidate will develop innovative tools leveraging
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inductive biases, we aim to identify key mechanisms that drive rapid learning in the visual system. The goal is to create a robust mechanistic neural network model of the visual system that not only mimics
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access to additional employee benefits through our Terms of Employment Options Model. In this way, we encourage our employees to continue to invest in their growth. For more information, please visit
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, transcriptomics, and proteomics and work on advanced biological systems for modelling infection including macrophages, organoids, zebrafish, primary and clinical samples. Embedding within the Institutes of Biology
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study, you will develop a model for the dynamic methane cycling in global inland waters. This model will build on our pioneering model framework and simulate the changes in cycling fluxes of major carbon
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of methane dynamics in rapidly changing ecosystems and contribute to improving predictive models of future methane emissions. Field sampling will focus on regions where methane cycling is still poorly
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dune development and increase the applicability of coastal dune models. Your job In this project, you will investigate dune erosion and growth by performing morphological analysis on existing coastal
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for Theoretical Physics at Utrecht University invites applications for a PhD position in cosmology with galaxy shapes, supervised by Dr Elisa Chisari. The project combines theoretical and simulated studies
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), sustainable, and climate-adaptive crops. By combining plant biology, simulation modelling, and artificial intelligence we aim to develop smart breeding and cultivation methods. Thus, we try to speed up
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and simulation techniques to reduce food waste and make food supply chains more sustainable? If your answer is “Yes!” to these questions, then this PhD position might be the perfect opportunity for you