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Field
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and cell biology, chemical biology, immunology, functional genomics, CRIPSR screening, signal transduction, single-cell sequencing, spatial sequencing, metabolism, drug development, structural biology
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resolution regional climate simulations produced to date, investigating what causes spatially localised extreme rainfall, how well are those processes represented in our simulations, and how are they expected
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wet bench experiments including stem cell culture, western blotting, molecular biology, microscopy, histology, and flow cytometry Involved in downstream bioinformatics analysis Willing to learn mouse
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air temperature maps • Develop and train Graph Neural Network (GNN) and Long Short-Term Memory (LSTM) architectures to model complex spatial and temporal dependencies in urban microclimate data
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research collaborations across Europe. The successful candidate will work with some of the most high resolution regional climate simulations produced to date, investigating what causes spatially localised
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along many kilometres of fibre with down to metre-scale spatial resolution – a technique coined Distributed Acoustic Sensing (DAS). The long-term ambition is to enable high-resolution, real-time warning
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conditions affect human health, infrastructure, ecosystems, and society. By bringing together expertise across climate science, hydroclimate analysis, environmental science, exposure assessment, public health
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materials. · Generate quantitative measurements of cell proliferation, survival, differentiation, lineage state, spatial organization, and competitive fitness for use in model development and
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desirable. Experience with AI, machine learning, optimization, spatial analysis, scenario modeling, or decision-support methods is strongly preferred, especially when applied in transparent, interpretable
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related to staff position within a Research Infrastructure? No Offer Description The proposed project will develop green, miniaturised and high-performance sample preparation workflows for the analysis