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function in a fundraising, nonprofit, or higher-education setting. Experience as a frontline fundraiser preferred. Experience managing large data sets. Proficiency in data analysis and reporting tools (e.g
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projects. Fellows may pursue projects that utilize the CIP archive of large-scale social media data, as well as design and execute new data collection efforts that utilize existing research infrastructure
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Assistant or Associate Professor (WOT) in Radiology, Emergency and Trauma, Harborview Medical Center
addition to caring for local trauma and non-traumatic emergencies, Harborview receives and cares for large numbers of severely injured patients transferred from Alaska, Idaho, Montana, Washington, and Wyoming. We
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researchers that helps them compete and succeed. However, research administration and regulation is growing in complexity by the day. Our mission in ORIS (Office of Research Information Services) is to reduce
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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
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vision. Job Description Primary Duties & Responsibilities: Serve as lead for assigned projects and functional area(s) throughout the Requirements, Design & Build, Data Migration, Testing, and Training
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primary clinical resource in a large multi-physician clinical practice. Functions as a Medical Assistant in the department, prepares and maintains exam rooms, prepares charts, obtains reports and records
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section maps. • Make and/or mix a variety of beverage options such as coffee, non-alcoholic “mocktails”, punch, ice tea, and lemonade; may include occasional bartending. • Operate and re-fuel large delivery
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and reporting on related data including periodic variance analyses; presenting and summarizing data in a variety of ways. Serve as the primary contact for the external auditors on gift-related questions
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landscape, fire behavior, and treatment characteristics to conduct a series of natural experiments. Using a big data and remote sensing approach, the project aims to learn from past fuel treatment activities