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Field
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, sensor failures, or the aggregation of datasets from multiple sources. There is a rich literature on how to impute missing values, for example, considering the EM algorithm [Dempster et al., 1977], low
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train robust machine learning (ML) algorithms without exchanging the actual data. The benefits of such a decentralized technology over personal and confidential data are multiple and already include some
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updates to address system changes, including new encryption algorithms, authorization protocols, data packet configurations, and additional user groups. Maintains and upgrades software and hardware
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years of related experience. Experience using Python for algorithm development, data science, and/or machine learning. Experience using JavaScript for front-end web development and visual data analysis
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. Experience using Python for algorithm development, data science, and/or machine learning. Experience using JavaScript for front-end web development and visual data analysis. Familiar with the software
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skills Ability to lead teams and reach consensus Ability to manage multiple projects and achieve targeted completion dates Ability to think critically to develop technical solutions to problems Attention
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will design and implement scalable software infrastructure and data processing software for CHIME's massive datasets. The role includes algorithm development and data analysis of cosmology datasets
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development on undersea sensor systems employed on Naval Special Warfare platforms. Responsibilities Communicate and collaborate with team members to design and develop new software features and maintain
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both fundamental and applied research, from the development of algorithms, tools, and frameworks that advance scientific discovery to methodologies that utilize computational approaches to generate
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, perform data cleaning. Develop machine learning algorithms, natural language processing tools, and end user tools. Develop and interpret MCMC models; develop meta-models. Analyze epidemiologic and