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Field
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to tackle research that incorporates Engineering Mechanics, Structural Engineering, AI and Data Science. The candidate will assist the DISCOVER lab with managing existing research projects and preparing
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in the analysis and interpretation of single-cell multi-omic data. This role will contribute to cutting-edge research by integrating statistical and computational approaches to address complex
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 16 days ago
for large-scale ice-sheet models such as ISSM, and provide a pathway toward increasingly integrated model–observation frameworks, including data assimilation. References: E Rignot, S Jacobs, J Mouginot, B
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of medication safety and effectiveness using national VA electronic health record data, including the extraction and curation of very large analytic datasets. Develop, preregister, and implement analytic plans
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quality control and initial data handling for next-generation sequencing datasets. The successful candidate will independently interpret QC metrics, troubleshoot sequencing issues, and support the growing
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big data. Among the key duties of this position are the following: Participate in lab meetings, research-in-progress seminars, data analysis, and presentations at conferences. Participate in the ACTIVE
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, root imaging) with biogeochemical, microbial, or environmental sensor data. Experience analyzing large datasets in reproducible formats (R, etc.) Demonstrated interdisciplinary and systems-level approach
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at the Large Hadron Collider (LHC). The successful candidate will contribute to a broad research program that includes physics analysis, detector performance studies, experiment operations, and upgrade
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at the intersection of emotion science, psychometric assessment, and large-scale intervention research. The projects will investigate the development and validation of novel measures of emotional skills and emotion
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. The successful candidate will play a key role in advancing the laboratory’s research program through the development of new technologies, data analysis, and contributions to scientific publications and grant