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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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University, you will build models and methods to parse natural language questions into geo-analytical workflows, combining NLP and semantic representations to improve how complex spatial questions can be
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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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(immersive reality, planning and simulation models) for joint planning assessment · support demonstrators of the developed prototypes in the project You will be part of a team comprising three PhD
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drier with global warming. However, particularly in the vulnerable subtropical and mid-latitude regions, the state-of-the-art climate models produce simulations that differ not only in the magnitude, but