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(Student Position) Location: Big Rapids, MI 49307 Department: VP Student Affairs Advertised Salary: $12.48- $13.24 Summary of Position: The Clerical General Level I position will consist of office work and
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of the SPHEREx cosmological large-scale structure survey. They will lead the development of power spectrum and bispectrum estimator, and validate the overall methodology on numerical simulations. Essential Job
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University of California, San Francisco | San Francisco, California | United States | about 10 hours ago
large-scale, population-based research of electronic health records databases with millions of observations (“Big Data”), and the trials involve domestic and international collaboration. This position
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the research project - “Large vision model for UAV-UGV collaborative map update”. Qualifications Applicants should have an honours degree in Engineering with a strong background in mathematics and programming
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to include: assisting the faculty members and their staff with computing needs such as downloading and managing large datasets from external sources onto the servers, and managing the data in a secure and
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genomics, phylogenomics, functional -omics, climate science, or other "big-data" approaches that link molecular mechanisms to ecological and evolutionary dynamics involving plants. The successful candidate
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with computing needs such as downloading and managing large datasets from external sources onto the servers, and managing the data in a secure and HIPAA compliant fashion. Perform other duties as
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language processing, GIS, and big data analytics. The Department of Economics seeks a Research Assistant to contribute to three specialized research projects: Key Responsibilities Evaluating the effects of China's
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on integrative studies of multiomic data (genomics, proteomics, metabolomics etc) across diverse large-scale population cohorts. The postholder will join the Butterworth group, which is at the cutting edge
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clinical data from musculoskeletal rehabilitation to generate data-driven insights that improve orthopaedic treatments and patient outcomes. Responsibilities: Extract, clean, and harmonize large clinical