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spatial omics, systems immunology, or integrative analysis of high-dimensional datasets are particularly encouraged to apply. The laboratory combines translational patient-based research with mechanistic
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insights, and applying appropriate AI models for geospatial analysis based on the integrated data. This role is part of the project: Decision-support-tools for Spatial Planning and Cumulative Effects
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, natural resources, spatial sciences, math, statistics, or related field of study. -Minimum of 4 years in geospatial analysis, statistical analysis, or similar, in either an academic or professional setting
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from multiple departments. The aim is to develop and apply multimodal 3D imaging and analysis frameworks to quantify tissue architecture and protein expression in paraffin embedded tissue samples
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develop and apply multimodal 3D imaging and analysis frameworks to quantify tissue architecture and protein expression in paraffin embedded tissue samples at scale. By integrating AI-drive image analysis
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models. · Experience with bioinformatics, single-cell sequencing analysis, spatial biology, or computational data analysis is desirable but not required. · Proven scientific productivity
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contribute to research activities implemented by UBB, including data collection, processing, analysis and interpretation, preparation of scientific reports and publications, participation in national and
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their instructional and programmatic contributions with ERC priorities. Each GA will specialize in one of three areas (quantitative methods, GIS and spatial analysis, or data for social impact) Through sustained
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bioinformatics research focused on cancer epigenomics, gene expression, single-cell and spatial omics, and metabolomic data analysis. Develop computational tools, apply AI and machine learning approaches
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Landscape analysis and modeling, with a focus on training and application of predictive machine learning tools. This researcher will synthesize regional-scale remote sensing imagery and ecological monitoring