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the Neurogenesis and Brain Cancer group led by Prof. Simona Parrinello. The team uses a variety of state-of-the-art technologies, including advanced imaging, single cell and spatial ‘omics’, barcoding, mass
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cancer patients. The lab employs cutting-edge technologies (immunopeptidomics, T cell engineering, single-cell transcriptomics, spatial transcriptomics, CRISPR technologies) paired with in vivo animal
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, which aims to characterize bile duct inflammation in order to identify targetable molecular pathways using a range of multiomic techniques. In-depth characterization of animal models of bile duct
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experiments using molecular biology techniques, including cloning and CRISPR/Cas9-based genome editing. Analyze and interpret complex datasets, including bulk and spatial metabolomics and other high-throughput
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to translate across immune-refractory tumors--our program fuses immunocompetent mouse models, patient-derived organoids, single-cell / spatial multi-omics, and CRISPR-based functional genomics. You will drive
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, or related discipline). Degree must have been received within the past five years. Preferred skills: Experience with ecological modeling, spatial analysis and statistics, ArcGIS Pro software, Python
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have been received within the past five years. Preferred skills: Experience with ecological modeling, spatial analysis and statistics, ArcGIS Pro software, Python and R coding. Stipend $60,000.00
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to develop data-driven, space-time explicit precision agronomic solutions Utilizing high-performance computing (HPC) systems for large-scale geospatial data processing, model training, and validation Designing
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work in the Atlantis modeling environment. Job Duties Include: Apply Ecospace modeling software to develop a new model and simulate a wide range of spatially explicit management strategies intended
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, innovative sequencing and bioinformatics technologies including single cell and spatial transcriptomics, molecular biology approaches using cell-based and animal models, and biomarker studies from patients