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to analyze single cell cross-sectional data, such as single-cell omics, cellular electron microscopy, and optical microscopy data sets. Additional work may entail integrating large-scale cross-sectional data
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, such as single-cell omics, cellular electron microscopy, and optical microscopy data sets. Additional work may entail integrating large-scale cross-sectional data with more limited time-course information
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for data science, artificial intelligence, and machine learning courses. The Preceptor will be responsible for assisting instructors of large AI-related courses for master’s and undergraduate students
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with collecting and analyzing data gathered from human subjects, both in field, clinic and lab studies as part of evaluations of the technology. A large part of the role will focus on supporting a
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experience, will work as part of a larger team to assist with collecting and analyzing data gathered from human subjects, both in field, clinic and lab studies as part of evaluations of the technology. A large
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developed and completed in collaboration with CBA. Primary methods would include analysis of large-sample behavioral data, surveys, and lab and field experiments. The projects will focus on products
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improve their financial outcomes. The projects would be developed and completed in collaboration with CBA. Primary methods would include analysis of large-sample behavioral data, surveys, and lab and field
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experience, will work as part of a larger team to assist with collecting and analyzing data gathered from human subjects, both in field, clinic and lab studies as part of evaluations of the technology. A large
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improve their financial outcomes. The projects would be developed and completed in collaboration with CBA. Primary methods would include analysis of large-sample behavioral data, surveys, and lab and field
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. • Expertise in research design and data analysis, including any of the following: clinical trials, implementation science, economic evaluation, digital health, statistical analysis for clinical trials, big data