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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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to be integrated with other sequence-based omics technologies. We are looking for two postdocs to establish this new technology as a new metabolomics platform — this is an exciting project that combines
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recently launched ambitious research programs aimed at consolidating research in two key thematic areas: health and engineering. One of these programs, SysMics (Towards Systems medicine based on multi-oMics
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Computer Science, Biomedical Engineering, Statistics, Biomedical Sciences, Electrical Engineering, or a related quantitative field Strong programming skills (e.g., Python, R, or similar) Demonstrated research
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The NSF-funded Science and Technology Center for Quantitative Cell Biology at the University of Illinois Urbana-Champaign offers several postdoctoral fellowship opportunities to support outstanding
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The Paul Scherrer Institute PSI is the largest research institute for natural and engineering sciences within Switzerland. We perform cutting-edge research in the fields of future technologies
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, circuit discovery, activation patching, and representation engineering, with a focus on compositional structure in learned representations, as well as testing universality across models and languages
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investigating the new pathways and targets in diabetes/obesity and cancer. The lab uses genetically engineered mouse models and molecular pharmacology tools to identify novel signaling pathways to develop new
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motivated postdoctoral fellow. We study how metabolism and metabolic enzymes in endothelial cells contribute to health and disease by leveraging genetically engineered mouse models, in vitro cell culture with
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digital image analysis platforms (Halo, VisioPharm, QuPath, InForm, etc.) a plus Experience with R, Python, and commonly used libraries/packages a plus Enthusiasm for novel assay and technology development