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Field
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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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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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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
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disease progression. · Apply spatially resolved genomic technologies to identify immune-tumor interactions and mechanisms of immune evasion. · Explore epigenetic dependencies arising from
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the Department of Ecology and Evolutionary Biology at the University of Michigan. Research in the lab is focused on the geography of evolution, and particularly on developing statistical methods for spatial
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Water Systems Location Moscow Posting Context Statement Develops alternative futures and resilience pathways by translating model outputs into spatial and temporal scenarios for a regional testbed