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Scholar (FP01) – AI Imaging & Retinal Disease who is interested in ophthalmology to assist in refinement of AI models as well as validation of new biomarkers and data analysis to be able to predict whether
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focus on flood risk management and decision analysis for wicked social planning problems. Potential project focuses include flood-risk infrastructure planning, disaster recovery processes and outcomes
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interactions. Development and use of numerical simulation tools to study plasma–dark matter interactions. Analysis of astrophysical data to search for observational signatures of this physics. The group also
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of wet-lab and computational methods including but not limited to next-generation sequencing and data analysis, spatial transcriptomic sequencing and analysis, single-cell studies, advanced cell
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related to multiple projects, including collaboration and coordination with school sites and key personnel; coordinating with school partners; data analysis and interpretation; and dissemination of findings
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-based reconstruction algorithms and image analysis pipelines. These approaches will provide highly efficient high-dimensional MRI image acquisition and reconstruction. We seek an enthusiastic and
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‑making, and regularly sharing findings with the IPQCC leadership team. The scholar will contribute to the design, analysis, and interpretation of QI efforts and will play an active role in translating data
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analysis are preferred. Successful candidates must demonstrate expertise in MR Physics, computer programming, critical scientific thinking, and creativity. Applicants will be expected to help develop novel
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computational experience including but not limited to next-generation sequencing and data analysis, plasmid and cell culture techniques, DNA/RNA work, single-cell studies, cochlear microdissection and