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Field
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flowering times over large spatial scales. Now, the PollenNet project seeks a highly motivated PhD student working at the interface of plant phenology, citizen science and ecological modelling. The PollenNet
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. This new technique, combining a novel material coating with a camera-based tracking system, aims to provide a unique spatially-distributed bridge monitoring, leading to new understandings of structural
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spatial data such as satellite data. You will work alongside other PhDs on soil health, biodiversity and land use intensity assessments, from field to national scale. Your qualities As a PhD you will
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function and its role in healthy development and disease. There is no brain-imaging method that allows us to measure infant brain activity with high resolution in both spatial and temporal dimensions
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routinely mapped with a spatial resolution of the order of millimetres, which prevents mapping, for example, defects. Finer spatial resolution could be accessed with near-field techniques. With the aim
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the past ten years thanks to artificial intelligence, mainly in the form of deep convolutional neural networks. In parallel, functional analysis of tissue samples via novel microscopy techniques and spatial
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automatization. In discussion with the successful candidate, they will choose further research areas within our group, such as enhancing the spatial and temporal resolution of the measurements, and integrating
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optimising performance across multiple timescales and spatial domains. Systematically resolving these challenges in renewable-dominated power networks stands as a critical cornerstone for enabling the roadmap
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in a unique way. Along with spatial profiling and molecular imaging, we are using engineered therapeutic molecules to tip the balance towards T cell activation in the tumor microenvironment. Our
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on cancer metastasis and novel metabolic pathways. We exploit mouse models, genetic engineering, metabolomics and single cell & spatial multi-omics analysis to gain groundbreaking insights into metabolism as