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Field
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candidate will investigate new algorithms and models to develop, implement, and test multimodal machine learning algorithms to analyze and recognize multimodal human behavior in real world settings. Specific
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biomedical research projects using programming, data-mining, statistics, machine learning, and visualization techniques to develop, evaluate, and/or apply algorithms and software for data analysis
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Classification Title: OPS Biology-Focused Machine Learning Assistant Job Description: The OPS research assistant will support multiple ongoing research initiatives within the laboratory
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. Within this field, we are continuously developing and adopting various algorithms for multiple applications such as automating quality control, detecting process deviations and finally predicting
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and Electronics group in the Electrification Section of EEID/ ESTD, at Oak Ridge National Laboratory (ORNL). Major Duties/Responsibilities: Develop and deploy algorithmic tools for monitoring
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(EHR) data built by a multidisciplinary team of software developers, machine learning engineers, clinical researchers and health informaticians. The CogStack team is at the forefront of building
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fundamentally new communications and computing capabilities. Role This post focuses on developing protocols and methodologies aimed at: Efficiently routing entanglement in quantum networks Optimizing quantum
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developing machine learning algorithms specifically designed for medical imaging applications. In addition, performs analysis of tissue images of cancer using machine learning methods that have been prototyped
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) Demonstrated experience completing multiple projects simultaneously with shifting priorities, deadlines and circumstances; experience must demonstrate organizational skills involving development of tracking
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University of Massachusetts Medical School | Shrewsbury, Massachusetts | United States | about 3 hours ago
and outliers in claims and develop trends and patterns for potential cases. Develop algorithms, queries, and reports to detect potential FWA activity. Analyze member records and claims data to ensure