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such datasets. In addition, this position involves working with DRSC/TRiP functional genomics core, a multi-disciplinary team of biologists, software engineers and bioinformaticians as we develop and leverage
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chromosomal copy-number alterations with protein-defined cell states in intact tissue, linking early genomic changes (e.g., MYC, CCNE1 gains) to local immune microenvironments at single-cell resolution
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 14 hours ago
in real time. Our multidisciplinary approach integrates high-resolution imaging with cutting-edge genomics (CUT&RUN, Micro-C, Hi-C), proteomics, and CRISPR/Cas9 engineering to address the most pressing
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, neurodegenerative disorders, telomere biology, and genome function. SBS is home to a vibrant, international community of scientific leaders, researchers, and professionals dedicated to innovation, discovery, and
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to learn to: Perform animal studies: mouse and large animal inoculation, tissue sampling, necropsy techniques Conduct molecular biology: genomic DNA extraction, PCR, gene cloning, CRISPR/Cas genome editing
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combines stem cell biology, spatial genomics, AI/ML, single-cell technologies and computational biology to study how mutant cell populations interact with their surrounding tissue environment during
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: Generative AI for visual exploration of biomedical data Interfaces for collaboration with AI Co-Scientists Multimodal clinical data visualization, including EHR, imaging, genomics, and clinical trial data
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University of Aberdeen - School of Medicine, Medical Sciences and Nutrition, Institute of Medical Sciences | Aberdeen, Scotland | United Kingdom | about 1 month ago
and genomic datasets. The appointee will be part of a translational team and work closely with cardiovascular scientists, immunologists and clinical colleagues. It is hoped that together, the group will
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flow cytometry, cell sorting, mouse models, molecular biology techniques, and immune profiling assays. · Analyze and interpret complex datasets, including genomic, transcriptomic, and
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multidisciplinary research integrates molecular biology, pharmacology, genomics, computational biology, and translational oncology to identify actionable signaling networks and develop predictive biomarkers