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microenvironment and promoting DMG initiation and progression. The successful candidate will utilize cutting-edge techniques such as single-cell RNA sequencing, spatial proteomics, and microbiome manipulation
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properties of neighbourhoods as they relate GHG emissions. This will entail the compilation of detailed spatial and temporal data on sociodemographic, housing, work, transport, commercial activity, etc
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utilize cutting-edge techniques such as single-cell RNA sequencing, spatial proteomics, and microbiome manipulation to uncover novel therapeutic targets. This position offers an opportunity to work at the
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to address the climate and biodiversity emergencies. The project will generate spatial-temporal datasets from various sources including Spaceborne Satellites, Drones, In-situ instruments, Land-Management, Soil
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strong confidence/belief in a vehicle’s perceived environment based on evidence (local & shared sensor readings) is under addressed, as such shared sensor readings may be subject to spatial correlations