638 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" uni jobs at University of California, Los Angeles
Sort by
Refine Your Search
-
anatomy. Ability to push the 500+ lb. echo machine for distances up to 100 feet within the office. Skill and manual dexterity to manipulate transducer and buttons, and knobs on the echo machine to obtain
-
strong electronics background recommended as well as experience with anesthesia machines. BLS from American Red Cross or American Heart Association required.
-
-hour computer data entry training course. Ability to perform all physical requirements pertaining to delegated nursing, PT/OT, and RT assisted tasks. Understanding of basic medical terminology and
-
) certification from the American Heart Association or Red Cross. Interpersonal skills to interact diplomatically and sensitively with acutely ill patients. Knowledge of basic computer skills to perform data entry
-
– minimum 3 years recent hands-on experience Epic Security Certified – preferred minimum 2 years recent hands-on experience Required Skills and Abilities Must have or acquire certifications required
-
using discretion, professionalism, and good judgment. Ability to operate automobile with appropriate licensure and insurance.
-
using various computer programs such as Word, Excel, PowerPoint, Outlook, and basic database software Ability to distinguish different exams and medical diagnoses Strong interpersonal skills Ability
-
to learn new and advanced protocols as needed. Principal EEG Technologists should serve as resources for junior staff. The Principal EEG Technologist is expected to take responsibility for certain
-
handheld devices or computers Eager to learn and adaptable to new systems and procedures Proficient in basic mathematical calculations Reliable, disciplined, and able to meet deadlines and follow protocols
-
the inpatient plan of care in coordination with the admitting team, case management and ED Charge Nurse. The Emergency Care Unit (ECU) overflow nurse will also assess patient, family and staff learning needs