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Field
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Department: College of Science Classification: GMU Worker Job Category: Part-Time / Hourly Wage Job Type: Part-Time Work Schedule: 24 hours per week Location: Fairfax, VA Workplace Type: Hybrid
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experiences through software on participant devices and provides privacy-preserving access to researchers who wish to study human and algorithmic behavior on the Internet. We are in the process of expanding
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departmental algorithms, the Scheduler critically evaluates the nature and urgency of scheduling requests to provide comprehensive clinical ambulatory scheduling for providers within the department specialty
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keeping, strong work ethic, desire for career growth, and a collaborative spirit are essential. Experience with lung imaging and writing analysis algorithms. Primary Location : University Job Category
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transformation, algorithms, and data output by using appropriate computer language/tools to provide technical solutions for moderately complex application development tasks. Document code and associated processes
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absorption. In particular, its estimation is essential for monitoring the vegetation's health and water status, and thus making decisions on irrigation scheduling and optimal application rates that, on one
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to build end-to-end diagnostic pipelines. Dynamic Imaging Analysis: Develop and optimize algorithms for time-resolved imaging data, including cardiac cine MRI and dynamic contrast-enhanced series
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the loop and using active learning to determine which demonstrations to collect. The candidate would work on both projects and be responsible for: Implementing AI and probabilistic ML algorithms Development
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Scheduled Hours 40 Position Summary The Senior Scientist in the Cremins Lab will work with a dynamic team to conduct research in the area of sequencing and analysis of complex multimodal genomics
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flexible work conditions, the use of algorithmic management to coordinate work, and a lack of labour protections. But these conditions do not affect all platform workers equally: research shows that workers