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axes: AI-driven territorial diagnostics and foresight, integrating multi-source satellite data with machine learning and spatial modeling Climate–water–energy–agriculture interactions, with applications
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with the common goal of contributing to an inclusive, open and resourceful society. The successful candidate will be based in the Department of Geography and Spatial Planning and working within
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, and contribute to a federally funded R01 initiative focused on the integration of spatial omics, transcriptomics, and histology data. The role emphasizes computational analysis of single-cell RNA
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Three-Year Postdoctoral Position: Role of Extracellular Nucleic Acids in Interspecies Communicati...
sensing in methanogenic consortia. This project integrates RNA-biology, anaerobic microbiology, metallomics, secretome analysis, spatial RNA seq, and electrochemistry, to explore the role of eNAs in
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the advantages of the ADS are linked to its subcriticality, this must be ensured under all conditions (normal, incident, or accident). The SPATIAL project aims to develop a reliable method for measuring reactivity
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the impacts of rapid and longer term spatial agricultural shifts, due to international trade networks, on biodiversity, considering losses and gains and how this can be used to allow more direct comparison of
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, and/or omics approaches. Specific Requirements Methods and Approaches The project will involve: Multi-omics approaches, including single-cell RNA sequencing (scRNA-seq), GeoMX Digital Spatial Profiling
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genomic approaches is to explore clinically relevant aspects of brain tumor biology. We pursue this goal using patient samples profiling, investigating temporal and intra-tumoral/spatial heterogeneity as
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technique based on CLCE coating. 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
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Communications 2024), and are now expanding into using spatial biology, in vivo CRISPR screening and genetic barcoding approaches to identify additional context-specific pharmacological vulnerabilities, tumour