384 engineering-computation-"https:" "https:" "https:" "https:" positions at University of Washington
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™ methodology. Effective educational resource for patient care. Effective integration of new technology and organizational initiatives Effective management of staff practice and professional behaviors using
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), the Department’s highly competitive residency training program is largely responsible for developing the mental health workforce in the Pacific Northwest. The Department’s robust research portfolio totals $65
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offers advanced expertise in vestibular rehabilitation, assistive technology, wheelchair seating and mobility, and neurologic and geriatric physical therapy, supported by clinicians with specialty
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Job Description The Department of Anesthesiology and Pain Medicine has an outstanding opportunity for a Research Scientist/Engineer 3 to join their team. As a center of excellence that collaborates
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Operational Oversight Oversee financial management across GOI projects, including budget monitoring and coordination with finance staff. Supervise the Program Coordinator responsible for scheduling
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for this position. More About This Job Required Qualifications: Successful completion of ASTEP or equivalent sleep technology program associated with a state licensed or nationally accredited educational facility
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-thinking, resilient, and sustainable environments that support the university’s mission for generations to come. We are seeking a skilled and detail-oriented Commissioning Engineer to manage and lead the
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additional work experience unless stated elsewhere in the job posting. Skills: Adaptability, Analyze Information, Capital Campaigns, Computer Technology, Confidentiality, Deadline Management, Detail-Oriented
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to ensure alignment with IT Services financial standards. Position Qualifications: Bachelor’s degree in Information Security, Computer Science, or a related field. At least 6 years of progressive technology
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@MGI determines the functional impact of genetic variants (mutations) by engineering those variants into human cells. We use high content confocal microscopy and deep neural networks (machine learning