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Field
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practice, algorithmic accountability, and structural analysis. The ideal candidate will be detail oriented with a strong work ethic, have both excellent quantitative skills and communication skills, and will
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and framework technologies, and establishing engineering standards that keep these systems robust, observable, reproducible, and maintainable at scale. Design, write, and evaluate algorithms, software
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new metrics, algorithms, processing techniques with modernized GPS and GNSS signals. Contribute to testing and routine assessments of GPS and GNSS receiver performance. Provide supporting information
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to changes. Knowledge, Skills and Abilities • Understands common data structures and algorithms. • Proficient in at least one programming language • Understands software architectures and deployment platforms
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, implementation, data collection, and data analysis. Work activities may include: • Developing analysis tools to extract physical meaning from in-situ process data • Developing machine learning algorithms to drive
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University of California, Los Angeles | Los Angeles, California | United States | about 2 months ago
analytics techniques Clean, manage, and prepare research data (including electroencephalography (EEG) and magnetic resonance imaging (MRI)) for analysis Assist with algorithm development, optimization, and
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engineering to test and evaluate SONAR signal processing and automation algorithms developed both internally and externally (may include travel to test sites for specific test events). Implement research grade
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evaluation of machine learning, computer vision, and other algorithms, primarily in the context of health. They will be part of the thriving research community of Duke Spark (spark.duke.edu) where AI
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including, but not limited to, social work, nutrition, palliative care and/or survivorship. Follow guidelines and provider template processes by using scheduling algorithms/decision trees to schedule
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methods to nuclear nonproliferation challenges. Develop, evaluate, and apply data-driven algorithms, selecting appropriate analytical approaches based on problem characteristics, available data, and mission