262 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" uni jobs at University of Washington
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reviewing entries for all reference lab testing, performing blood draws on patients, and performing various computer functions. Perform Customer Service | Exercise your customer service skills by responding
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reviewing entries for all reference lab testing, performing blood draws on patients, and performing various computer functions. Perform Customer Service | Exercise your customer service skills by responding
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reviewing entries for all reference lab testing, performing blood draws on patients, and performing various computer functions. Perform Customer Service | Exercise your customer service skills by responding
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employees: https://facilities.med.wustl.edu/Careers. Position provides recognized procedures and techniques to safely perform duties repairing and servicing of equipment. The mechanic will primarily work
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, using Big Data and machine learning. The Research Scientist / Engineer 2 (RS/E 2) will play a critical role in these important studies. This is a tremendous opportunity to grow as part of a very
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, Computerized Accounting, Computer Literacy, Deadline Management, Grant Administration, IBM Cognos Analytics, Interpersonal Communication, Learning New Technologies, Maintaining Composure, Microsoft Office, Oral
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, cancer biology, stem cell biology, and gene engineering. We are seeking motivated individuals to assist with studies investigating the optimal host environment to support chimeric antigen receptor (CAR) T
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teach students and trainees, including medical students and medical genetics residents through participation as part of the medical genetics courses and supervision as an attending. Compensation The base
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, using Big Data and machine learning. The Temporary Research Scientist / Engineer 3 (RS/E 3) will play a critical role in these important studies. This is a tremendous opportunity to grow as part of a
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Job Description OVERVIEW: The Computational Ophthalmology Lab is leading collaborative efforts on large multidisciplinary research projects, using Big Data and machine learning. The Research