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disease, with a strong focus on fibrosis and inflammation. Over the years, we have developed an advanced translational toolkit, including human precision-cut tissue slices, a unique organotypic model
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to lead impactful research at the interface of aging biology, neurodegeneration, and spatial omics. The successful candidate will contribute to high-profile projects investigating the cellular and molecular
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monitoring and profiling of breast tissue and systemic responses; Use of mouse models to study early tumour initiation; Application of single cell and spatial transcriptomics, lineage tracing, and multiomics
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runoff under climate change, and Analyze changes in marine ecological (phytoplankton) communities during and after freshwater extremes (low-salinity pulses) at multiple spatial and temporal scales
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have expertise in geometallurgy, applied geochemistry, and geo-environmental assessment, with advanced proficiency in integrating spatial data into 3D models using sophisticated interpolation techniques
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Geological Evolution of Major Shield Volcanoes on the Moon Using Contemporary Lunar Mission Datasets
National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 1 month ago128m/pix (~250 m/pix at equator) resolution. The Moon Mineralogy Mapper operates in the VNIR region from 540 nm to 3000 nm with 85 contiguous bands with 140 m/pix and 200 m/pix spatial resolution
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applicant for this job will conduct applied research in the areas of transportation, traffic-related air pollution, human exposure assessment and public health impact modelling. Part of the work will be
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or closely related sciences*; Knowledge about spatial modeling, remote sensing, and geographic information systems; Knowledge and expertise in spatial modeling using satellite or airborne images and airborne
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implications for access to basic services. Develop mapping and modeling tools to visualize socio-spatial inequalities. Perform comparative studies on public policies designed to reduce territorial divides
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projects ranging from score-based generative models, energy-based models, Bayesian analysis of graph and network structured data, highly multivariate stochastic processes; with data applications ranging from