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metastatic disease. To tackle these questions, we use cutting-edge technologies, including spatial transcriptomics, single-cell multi-omics, tumor immunology, and in vivo genetically engineered mouse models
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investigate whether neutrophils can be targeted to enhance immunotherapy efficacy. Current research on neutrophil function in cancer relies heavily on mouse models, which may not accurately reflect human
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. This simulation environment will exploit the unique features of currently available AI models and include two layers: the spatial mapping one (placing the chargers where the people need them to be), and the power
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sophisticated mouse genetic models of cancer and conditional gene targeting, single-cell RNA-seq, spectral flow cytometry, multiplex imaging and spatial genomics data acquisition and analysis. Where to apply E
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expertise, including facilities for high-throughput screening and high content imaging, multimodality in vivo imaging, proteomics, spatial and single-cell transcriptomics. As part of King’s Health Partners
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the social and environmental implications of proximity models, combining spatial, mobility and socioeconomic data to develop indicators and tools for the toolkit. The candidate will also assume coordination
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Opportunity for Spatial Biology Posted by Mary Lindstrom on Tuesday, December 2, 2025 in Job Opportunities . The University of Alabama at Birmingham (UAB) Schools of Medicine and
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Pest Management in The Western U.S.' (https://ai4sa.ucr.edu/ ). The overall goal of this project is to develop advanced tools for early stress (abiotic and biotic) detection and decision support for crop
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Vision Profiler (UVP), and to analyse its spatial and temporal variability. This will be done by combining different data sources and machine learning (ML). Data used for this ML approach include - a
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geospatial information (land use and cover, biophysical, climate, management practices, etc). • Contribute to the development of spatial and statistical models that describe the interactions between soil and