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including radiofrequency hardware and software, pre and post procession pipelines, and MRI data analysis. The position responsibilities include writing grant applications as principle and co-investigator and
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for two appointment stream Research Assistant Professor positions. Applicants should have greater than six years of experience beyond the PhD degree in the field of medical instrumentation and data
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experiments using mPCSK9-induced atherosclerosis mouse models to evaluate lesion outcomes following genetic or pharmacological inhibition of TERT and KLF4. Based on the resulting data, they will analyze and
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and experience. Job responsibilities include: • Develop or identify quantitative tools for imaging data processing, including diffusion, anatomic, and BOLD fMRI. • Oversee data quality assurance/quality
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-time faculty member in the Health and Community Systems Department in the School of Nursing, who will be supporting data collection and analysis for a grant examining veterans' mental health. Maintenance
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of particle detectors. The candidate is expected to engage in planning for deployment of these tools in view of software releases, Monte Carlo campaigns, and data taking runs of the detector. Additionally
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to support large-scale studies Lead or assist with project coordination, data analysis, manuscript preparation, and grant development Engage in mentoring and training activities Qualifications Ph.D. in