374 distributed-algorithm-"Meta"-"Meta"-"Meta" uni jobs at Duke University in United States
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assignments of CDU imaging analysts and technical staff supporting this project. · Ensure clear distribution of tasks related to image receipt, processing, analysis, and reporting. · Monitor workload
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and patient appointment scheduling. Position also involves customer service, message distribution, ancillary scheduling and preparation and referrals management. Work Performed • Prepare for clinic
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Schedule is Monday-Friday, from 6 AM to 2:30 PM.** General Description of the Job Class Perform duties in computerized order entry, distribution of all supplies, linen, equipment, shipping and receiving
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care and/or survivorship. Follow guidelines and provider template processes by using scheduling algorithms/decision trees to schedule appointments. Apply knowledge of scheduling policies and procedures
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, patient check-in/out, charge posting, cash management and patient appointment scheduling. Position also involves customer service, message distribution, ancillary scheduling and preparation and referrals
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, patient identification, patient check-in/out, charge posting, cash management and patient appointment scheduling. Position also involves customer service, message distribution, ancillary scheduling and
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to record the electromotive variations in heart muscle actions; assist in the coding, filing and distribution of EKG data. Perform as a member of the cardiac arrest team, obtaining ECG record of events
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, and specimen management. • Obtain total volume, perform aliquot and distribute all urine specimens. • Properly determine urine volume. Properly label aliquot containers. • Communicate in a
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process, patient identification, patient check in/out, charge posting, cash management and patient appointment scheduling. Position also involves customer service, message distribution, ancillary scheduling
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of the Job Class Provide exceptional support enabling ongoing tactical execution of Supply Chain distribution operations governed by our ERP (SAP) via a spectrum of front-end Inventory Management (IMS