421 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "https:" positions at University of Washington in United States
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Job Description Field of Research: Computational biology/bioinformatics with emphasis on spatial transcriptomics, proteomics, and immunosequencing using Pixel‑seq and an immune receptor‑focused
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Scheduled Hours 40 Position Summary Through knowledge of the organization’s technology infrastructure and specific software applications, helps the business address changes through technology
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our interdisciplinary research program. Our lab investigates how bacteria and human mitochondria maintain homeostasis and respond to stress and environmental challenges. A central focus of our research
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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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our shared goals. The College of Engineering has an exciting opening for an Associate Director for Advancement. This is a full-time, permanent position. The Associate Director for Advancement is
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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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opportunities for methodological innovation. Minimum requirements: Bachelor’s degree in Computer Science, Electrical Engineering, Applied Mathematics, Statistics, or a related field and four years of relevant
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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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cell therapies for cancer. In the last ten years, engineering of human immune cells has led to remarkable breakthroughs in the treatment of cancer. The most successful example is the use of chimeric
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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