761 parallel-and-distributed-computing-phd-"Meta"-"Meta" positions at University of California, San Diego in United States
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independently a wide variety of technical procedures in a section of the Clinical Genomics Department. Other responsibilities include method development-modification-parallel testing, collaboration
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employees in EEG data collection and pre-processing. Solid computer skills using MS Word, Excel, PowerPoint, email system, and a variety of web-based programs. Demonstrated ability to create and maintain
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approximately 171 Faculty, 50 post-doctoral fellows (both MDs and PhDs) along with over 300 support staff (not including hospital staff). In addition, the Department has 57 clinical residents and fellows
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alterations of electrical systems and voltage distribution systems. Thorough knowledge and experience reading and interpreting blueprints, as-builts, wiring diagrams, shop drawings, schematics diagrams and
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time. Under direct supervision, the Linen Service Worker distributes clean linen to all departments in need of linen. Folds and consolidates clean linen. Orders and stamps clean linen. Maintains log and
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position assists the pharmacist in the preparation of medications for patient use (oral and parenteral) according to established procedures; assists in the distribution of medications, record keeping, and
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the pharmacist in preparation of medications for patient use according to established procedures; facilitates in the distribution of medications including delivery of medications to the patient's bedside (Med-2
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, designs and implements detailed interfaces between computer systems. Initiates, designs, executes and sustains metadata for collections of digital objects. Responsible for design and development of activity
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emphasis on cancer care, we are committed to delivering world-class medical services in a patient-centered environment. Under direct supervision, the Linen Service Worker distributes clean linen to all
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recruiting a scientist to work on the development of artificial intelligence (AI) data-driven weather prediction models. The successful candidate will apply their background and expertise in computational