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Simulation Nurse Faculty; Lecturer, Senior Lecturer, Principal Lecturer (FT/PT) (Multiple Positions)
https://www.nursing.arizona.edu/ Medical Sub-Speciality Location Tucson Campus Address Tucson, AZ USA Position Highlights The Simulation Nurse Faculty is responsible for supporting a healthcare simulation
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’ epidemiological and drug-resistance situations, parameterization of country-level scenarios with all the assembled data and building and/or visualizing additional models to make near-term and long-term malaria
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, reports, and data visualizations for internal and external stakeholders, ensuring alignment with institutional priorities and compliance requirements. Provide leadership for institutional survey management
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, retirement plans, and paid time off. For more information about benefits, visit https://hr.uoregon.edu/about-benefits . The University of Oregon is an equal opportunity, affirmative action institution
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, spouse and dependents (after 2 semesters of employment.) For more information on Ivy Tech Benefits visit https://careers.ivytech.edu/benefits A qualified faculty member meets the education component of
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and surveillance research analyses. Summarizes relevant statistics on the epidemiologic and surveillance research analyses, constructs data visualization tools such as infographics and chloropleth maps
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our patients, discover new treatments, and educate the next generation of eye care professionals. For more information please visit our website at https://med.umn.edu/Ophthalmology . Lions Gift of Sight
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find other Hamilton and nearby academic job listings at https://www.hercjobs.org/regions/higher-ed-careers-upstate-new-york/, as well as additional information at https://www.hamilton.edu/dof/faculty
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this link: https://www.dars.virginia.gov/drs/cpid/PWContact.aspx or call DARS at 800-552-5019, or DBVI at 800-622-2155 Additional Information Background Check Statement Disclaimer The selected candidate’s
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part of the diverse Caltech community. Job Summary This position involves research and evaluation of state-of-the-art algorithms for detecting and classifying safe landing zones using computer vision