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Field
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particular: propose and conduct comparative benchmarking of neuromorphic hardware using both event-based sensor data and conventional sensor data (such as optical or hyperspectral imagers typical of space
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engineering pipeline, developing usable and innovative solutions to build a prototype of sustainable online tools and services that are relevant and useful to a broad range of stakeholders making decisions
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bioinformatics, with a particular emphasis on performing analysis of high-dimensional data, which can be sequencing and/or imaging-based. Experience working with AI and machine learning approaches are considered a
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, medical images, patient logs and other relevant health related data points. Assist in managing study portals, data pipelines and visualization dashboards. Assist in maintaining production systems currently
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 3 months ago
Organization National Aeronautics and Space Administration (NASA) Reference Code 0325-NPP-JUL25-GSFC-EarthSci How to Apply All applications must be submitted in Zintellect Please visit the NASA
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to be tested, modified, and improved during the project. The seafloor survey will image the scarps of active faults to understand the faults surface expression at different depths. The output will be 1
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Regular Job Code 9546 Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job Job Duties: Lead development of core reconstruction and simulation software for the LDMX
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Job Code 9546 Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job The School of Public Health Division of Biostatistics and Health Data Science (BHDS) is seeking a
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will use a combination of scRNAseq, spatial transcriptomics, and highly-multiplexed imaging to understand how human macrophages respond to the early stages of cancer development. They will be a part of
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radiation transport codes (e.g., FLUKA, Geant4, MCNP etc.) Excellent programming and data analysis skills (e.g., Python, C++, or similar) Solid understanding of particle-matter interactions Excellent written