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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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combining chronic in vivo imaging (two-photon microscopy, fiber photometry, GRIN lens imaging) with genetic and molecular approaches to dissect how cell type- and projection-specific plasticity orchestrate
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. The applicant will join an NIH-funded lab to engage in basic and translational neuroscience research. The laboratory uses in vivo 2-photon imaging, electrophysiology and optogenetic approaches to better
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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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Previous Job Job Title Post-Doctoral Associate Next Job Apply for Job Job ID 367655 Location Twin Cities Job Family Academic Full/Part Time Full-Time Regular/Temporary Regular Job Code 9546 Employee
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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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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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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
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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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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 3 months ago
Organization National Aeronautics and Space Administration (NASA) Reference Code 0066-NPP-JUL25-JPL-Astrophys How to Apply All applications must be submitted in Zintellect Please visit the NASA