2,414 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" uni jobs at University of Michigan
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. This is not a remote (working from home or elsewhere) working position. Must be able to work in active clinical and healthcare environments. Excellent computer skills. Must have excellent people
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multidisciplinary team, handling multiple responsibilities in a fast past environment. In addition, candidate must demonstrate problem solving skills, proficient computer and keyboarding skills, and excellent
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. Instruct, upon request, medical and nursing staffs on the proper use of equipment. Maintain a control log of all equipment requests noting patient name, bed number, type of equipment and the name of
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Qualifications* Basic computer skills; course work in an Allied Health field. Work Schedule Hours/Week: Up to 40 hrs/week, Minimum of 24 hrs in a 4 week nursing schedule Shifts: Day/Eve/Night Rotator, possible 4
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of the health care team Demonstrated accountability and dependability as evidenced by completion of continuous mandatory education requirements within identified time frames Computer skills; proficient in
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improvement process with documented results. Takes initiative in seeking professional growth. Computer skills: proficient in Microsoft Office and Groupwise. Work Schedule Hrs/Week: 36 hrs per week; night shift
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care team Demonstrated accountability and dependability as evidenced by completion of continuous mandatory education requirements within identified time frames Computer skills; proficient in GroupWise
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for success in this position Effective collaboration with multi-disciplinary teams Proficiency in keeping accurate and timely clinical records by computer Work Schedule This is a part-time, 20 hours/week
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(type 30+ word a minute) able to communicate clearly and professionally in person, on the phone and in email. Desired Qualifications* Experience is preferred in Health Care Inventory Management Knowledge
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Apply Now Job Summary Will assist with all aspects of lab work, conservation, field excavation, recording, and mapping, as needed. Supervise new excavators and teach basic methodologies