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Field
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function is one of the central open questions in biology. This project aims to address this challenge using cutting-edge AI and large-scale multimodal data. We are recruiting a PhD student for the project
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dynamics to longer-term fluctuations driven by biological factors and learning. (3) Design and coordinate a large-scale data collection using a measurement-burst EMA approach to test the models and address
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methods for understanding biological form, function, and evolution. The project combines computer vision, machine learning, genomics, and biomechanics, and involves large-scale multimodal datasets including
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health, and (3) critical housing studies. Methodologically, the project combines large-scale cross-national comparisons, advanced quantitative longitudinal analyses, and in-depth ethnographic fieldwork
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, spatially aware QC, normalization, cell segmentation integrating H&E imaging and transcript density, and spatial domain identification Single-nucleus integration and annotation: large-scale multi-sample batch
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a large scale. This research project aims to better understand these cumulative effects in the eastern English Channel and the southern North Sea, where numerous existing, recent and planned wind
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drought early warning and monitoring system for large-scale river basins. The project will explore both data-driven and model-based approaches for drought predictions, paving the way for a continental high
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. Robust reservoir-scale modelling is therefore essential for predicting system performance and informing design and operational decisions. Leveraging geological, hydrological, and thermal models developed
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running experimental platforms a unique opportunity to work with large-scale real-world measurement data a vibrant, collaborative, multi-cultural and English-speaking environment the prospect to publish at
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a Research Infrastructure? No Offer Description Work Plan The fellow will participate in the development and evaluation of a new large-scale data processing solution based on a decentralized