1,047 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "INESC TEC" uni jobs at Stony Brook University
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treatment and other patient care services under professional supervision. Preferred : NYS Certified Nursing Assistant license or certification from an approved certified nursing aide training program, one
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standards and driving continuous quality improvement within the MD program. As the primary liaison for LCME accreditation within the Renaissance School of Medicine's (SOM) Office of Medical Education, the
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experience. Experience handling FMLA, ADA, Workers' Compensation, or related level programs. Proficiency with computer software such as Microsoft Office Suite and/or Google Workspace. Preferred Qualifications
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of demonstrated excellence working in a patient facing role in health care, such as medical office. Excellence in verbal and written communication, computing and multi-tasking skills. Candidate must demonstrate
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, producing reports, answering telephones, gathering and entering data. This title is part of the New York Hiring for Emergency Limited Placement Statewide Program (NY HELPS). For the duration of the NY HELPS
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, producing reports, answering telephones, gathering and entering data. This title is part of the New York Hiring for Emergency Limited Placement Statewide Program (NY HELPS). For the duration of the NY HELPS
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-volume complex bedside patient registration. Completes pre-arrival, pre-registrations and registrations using various computer systems for all inter and intra-facility transfers in accordance with
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performing EEG's. Graduation from an EEG training program, completion or acceptable EEG module or minimum 5 years of clinical experience as EEG Tech., including pediatric and neonate experience. Preferred
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services under professional supervision. Preferred : NYS Certified Nursing Assistant license or certification from an approved certified nursing aide training program, one year of patient care experience and
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equipment, carry out test procedures, as well as collate and interpret data using special methods in support of a research project or program for Dr. Hwan Kim in the Department of Microbiology and Immunology