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Field
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research topics for human behavior using one or multiple cameras will focus on the design of efficient perceptual algorithms for behavioral cue extraction and novel approaches for the modeling people
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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 Machine Learning Assistant Job Description: The OPS research assistant will support multiple ongoing research initiatives within the laboratory, contributing
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programming algorithms and data structures Able to appropriately communicate challenges and issues Able to handle multiple tasks or projects at one time meeting assigned deadlines KNOWLEDGE KEY LEARNING
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. This position requires developing bioinformatics pipelines, applying variant interpretation algorithms, project management skills and communicating with diverse stakeholders to gather and articulate requirements
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Computational Sciences to lead a program in immune repertoire profiling, decoding, and analysis. The individual will manage multiple individuals at various ranks, providing support a) sample selection and study
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addition to performing activities related to data mining, data analysis and recoveries. With increasing independence, the Investigator II is assigned to multiple provider types and serves as a senior investigator in the
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(Required) Experience creating and utilizing statistical algorithms and conducting power calculations to determine sample size to answer complex research questions. (Required) Demonstrated experience working
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, epidemiology, neurology, psychology, neuroimaging, genomics, aging) and a track record of working across multiple biomedical data domains (i.e. clinical data, imaging data, genomic and omics data, device and
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the design and development of multiple projects using state-of-the-art AI models, algorithms, statistical models, and other programs designed to improve the public sector. Work with large untapped data