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with the Desktop Support team on day-to-day operations. Responsibilities Create, update, and resolve tickets in our ITSM, Jira Service Management. Assist the Desktop Support team with computer imaging
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candidates in all areas of Biomedical Engineering are encouraged to apply, with strategic interest in: Bioelectronics Brain-Computer Interfaces Biomaterials and Biomanufacturing Organoids and Organ-on-a-Chip
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Physician Assistant Program. This position is located in the South Main Orthopaedic Clinic that supports the Foot/ankle and Hand services. The successful candidate will be required to actively participate in
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to Search Physician-Scientist, Assistant/Associate Professor/Full Professor, Dermatology (T/TE) Posting Number req25551 Department Dermatology Department Website Link https://medicine.arizona.edu/deptmedicine
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 15 days ago
: clinical research variables, basic research experiments, imaging metadata, genotype-phenotype data, expression, and other ’omics data. Other responsibilities of the IT Analyst/Programmer (Semantic Engineer
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inclusion initiatives, imaging and imaging technology-related clinical and basic science research. The department's missions focus on education, imaging-related research, and achieving the professional goals
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the broader community by contributing to the understanding of health and disease through our diversity, equity and inclusion initiatives, imaging and imaging technology-related clinical and basic science
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degree of familiarity with gene sequencing and advanced imaging technology is a plus. Additional Information Appointment End Date: This is a one year term position Standard Hours/Schedule: 35 hours per
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decision-making during clinical procedures. (Required) Education, Licenses, Certifications & Personal Affiliations Completion of an Accredited Radiologic Technology Program (Required) Certified Respiratory
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Phenotyping Advanced Technology facility (Prof Le Quesne), focussing on deep phenotyping technology using a combination of advanced in situ assay methods, tissue imaging, image analysis, and artificial