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, with important consequences for host outcome. You will use a range of cutting-edge in vitro and in vivo models of bacterial infection to: Assess the effect of deficient type I IFN responses on disease
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and implementing advanced statistical and machine learning models, developing interactive visualizations, and supporting data infrastructure to inform research and applied projects. The Data Scientist
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training and consultancy advice across Schools and Divisions. Model positive leadership behaviours and support team development. Skills and Experience To be considered for this position, you will have: A
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areas: formal verification, proof assistants and verification tools, binary/program analysis, or compilers. - Strong expertise with formal methods tools (e.g., theorem provers, SMT solvers, model checkers
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redirecting blood flow, then safely dissolving, eliminating long-term risks of permanent implants and aligning with Net Zero Goals. You will use modelling to identify an optimal PHA-based design with a
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, VA Workplace Type: On Site Required Sponsorship Eligibility: Not eligible for visa sponsorship Salary: Salary commensurate with education and experience Criminal Background Check: Yes Works with Minors
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Professor to begin Fall 2026. We are looking for strong candidates whose scholarship integrates data science, with focus on statistical modeling and computation. The ideal candidate will have expertise in
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. We utilize novel murine models and techniques and translate finding using our large cohort of human subjects with advanced imaging of coronary artery plaque volume and features of plaque instability
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of the social model of disability. Coordinates campus outreach activities and programmatic efforts that are educational in nature as well as in response to identified needs. Takes a leadership role across campus
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response assays, CUT&RUN, ATAC-seq, sample and library preparation for next generation sequencing, and murine animal studies. Working with model organisms such as mice and with human tissue and/or cell