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will involve (but not be limited to) applying sophisticated mouse genetic models of cancer and conditional gene targeting, single-cell RNA-seq, spectral flow cytometry, multiplex imaging and spatial
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resolution (such as MEG or intracranial EEG) may also be considered, in combination with behavioral recordings and computational modeling. Where to apply Website https://www.unitn.it/ Requirements Additional
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extensive use of remote sensing technologies to monitor environmental changes across spatial and temporal scales and to develop models that address key societal challenges related to biodiversity, climate
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, marking a bold step toward a more collaborative, challenge-driven model of research. Team Science Scientific breakthroughs rarely come from isolation—they emerge when brilliant minds connect. Our Team
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geospatial analytics to join our multifaceted team. The successful candidate will have experience in satellite imagery, remote sensing workflows, spatial modeling, and geospatial data visualization. They will
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investigate how intra-tumour heterogeneity (ITH) shapes the immune microenvironment in primary and metastatic breast cancer. Using spatial transcriptomics and mouse models, the candidate will map immune niches
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; environmental exposures and resilience to heat, flooding, and pollution in cities; geography of emerging diseases; health co-benefits from urban sustainability transitions; GIS, spatial modeling, and data-driven
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/Machine Learning engineers. Want to leverage your skills to usher in the era of personalized disease modeling? The Digital Twin Innovation Hub is currently seeking skilled and experienced individuals
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. This project requires high-end skills in Geospatial Engineering & Technology including GeoAI, Geospatial Model Building, Remote Sensing Data Analyses, Advanced Image Processing, Data and Image Mining along with
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the pharmaceutical sciences. More information about the department and its activities is available at uu.se/farmbio. The infrastructure platform “Spatial Biology” at SciLifeLab is currently in a strong phase of