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of the newly created Center for Inflammation Science and Systems Medicine (CISSM) at The Herbert Wertheim UF Scripps Institute for Biomedical Innovation & Technology. Our dynamic team is dedicated
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positions based on performance and funding. Qualifications: A Ph.D. (or equivalent) in electrical engineering, biomedical engineering, computer science, medical physics, or a related field is required
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Postdoc in CRISPR Meta-Analytics and AI for Therapeutic Target Discovery and Priotisation (OT Grant)
(obtained at the call closure time or near completion) in a relevant subject, e.g., bioinformatics, computer science, mathematics, physics, engineering or a related field of science. Proven track record
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, Electrical Engineering, Biomedical Engineering, Statistics, or a related field. Strong background in machine learning, data mining, statistical analysis, and computational modeling; Experience with programming
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, genetic engineering, murine modeling of cancer. Uses computer-interfaced equipment, robotics, and/or high-technology applications to perform work duties. Prepares and gives impressive seminar talks as
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well as the R&D and application of high technology for marine environmental protection and resources exploration. It is a large-scale public welfare marine research institute with outstanding scientific and
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assays for functional screens to dissect GPCR signaling Using fluorescence and FRET/BRET-based reporters of GPCR signaling and ligand binding Engineering mammalian cell lines and molecular cloning Cell and
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. We utilize a multifaceted approach that encompasses preclinical studies in immune competent syngeneic and genetically engineered co-mutational models of KRAS - mutant NSCLC as well as PDX/CDXs, in
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, Physics, Engineering, or a related field • Prior experience in modeling viral infections, bacterial infections, and/or immune response dynamics • Experience with parameter estimation techniques and data
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molecular biology and immunology techniques along with multi-omics approaches, including sc-RNA-seq, bulk RNAseq, epigenomics, metabolomics, proteomics, CRISPR screens and genetically engineered mouse models