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foundational methods for integrating single-cell and clinical transcriptomes; and train, fine-tune, and validate deep learning models using multi-omics and imaging data to predict clinical outcomes such as
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muscle cells remains largely unknown. Using human vascular cell models, the student will investigate whether loss of endothelial PKD1 alters smooth muscle cell behaviour, including changes in cell
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chemistry, theory and modelling, fundamental materials physics, and device development, with applications in energy, printed electronics, photonics, and bioelectronics. A strong common theme is materials
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learning, epigenomic data, and mechanistic modelling. The mission is to contribute to the development of predictive models of the replication initiation probability landscape (IPLS) from limited experimental
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, bioelectrical signalling and fibrotic cell-state transition. More information on the project can be found here: https://marcfernandezyague.com The successful candidate will conduct experiments at the Queen Mary
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responses using molecular biology, immunology, cell culture techniques and animal models. Job Description: Key Roles and Responsibilities: Perform research with undergraduate/graduate trainees and research
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animal models for hematopoiesis Experience in high-throughput data analysis, such as single cell RNA sequencing Knowledge in R and foundations of statistics Experience with CRISPR/Cas9 (or similar) genome
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Posting Details Posting Details Job Title Director of Energy Systems Modeling EPIC Requisition Number RE55299 Working Title Department Name 40550:Ctr For Applied Energy Res Work Location Lexington
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of Molecular & Human Genetics, Baylor College of Medicine. The laboratory uses cell culture, Drosophila and mouse genetics to identify and characterize genetic modifiers of human developmental disorders, in
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Position Description The Weill Institute for Cell and Molecular Biology (WICMB) and the Department of Biomedical and Translational Sciences (BTS) at Cornell University in Ithaca, NY invite