47 coding-"Multiple"-"Integreat--Norwegian-Centre-for-Knowledge-driven-Machine-Learning" positions at University of Washington
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, such as records of multiple or intermediate causes of death and linked patient or diagnosis data, to study patterns in cause co-occurrence across death and disease. These shared data sources connect
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certification; coding experience and previous precertification experience. Applicant must have a thorough understanding of both Washington University insurance database and insurance terminology. Excellent
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Scheduled Hours 40 Position Summary Assists investigators as coordinator of a complex clinical research study; may be responsible for multiple research studies simultaneously, acting as a liaison
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to integrate to build impactful reports. Construct automated dashboards to track Key Performance Indicators (KPIs) aligned with school strategic initiatives supporting multiple departments. Translate the data
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identify root causes in data, methods, and code. • Excellent written and oral communication skills required, including track record of success in co-authorship on multiple scientific papers, presenting
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the following objectives: 1. Characterize 3-D Urban Structure and Change: Utilize data from multiple remote-sensing platforms and deep learning algorithms to generate high-resolution maps of 3-D urban structure
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Project Manager is responsible for one or more major projects, multiple special projects. Major projects include construction of new buildings or major renovations of an existing building. Projects above
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Scheduled Hours 40 Position Summary Assists investigators as coordinator of a complex clinical research study; may be responsible for multiple research studies simultaneously, acting as a liaison
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described in UW's Faculty Code Section 24-34 . Anticipated start date is Summer/Fall 2025. In addition to clinical work, teaching, scholarship, and service are integral to all Clinical Practice positions
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Parkinson’s disease. Responsibilities will include assessment of all available quantitative data through formal systematic review and then use of established modeling tools and creation of novel code