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: For information about benefits for this position, visit https://www.washington.edu/jobs/benefits-for-uw-staff/ Shift: First Shift (United States of America) Temporary or Regular? This is a regular position FTE
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biomedical engineering or computer science, preferred. Demonstrated experience with electrophysiology data analysis, preferred. Strong quantitative and programming skills (e.g., MATLAB, Python, R) preferred
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/or verification of prior employment. For more information about background checks, visit https://policy.unm.edu/university-policies/3000/3280.html . Refer to https://policy.unm.edu/university-policies
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conducts research activities for the Paustian IBD Center Mannon research lab which may include experimental design and execution, sample handling (collecting, processing, biobanking), data analysis
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applicants). Demonstrated expertise in combining field geology, laboratory analysis, and data-driven techniques (such as computational modeling or artificial intelligence) to study sustainable critical mineral
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with esports recruiting and player evaluation. Experience with gameplay analysis, statistics, streaming, or esports technology. Experience working effectively in a remote or hybrid coaching environment
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validation of a robotics monitoring demonstrator. You will work across robotics software, sensor integration, machine learning and data analysis, including the development of methods for detecting abnormal
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), for the analysis of primate acoustic data and support in fieldwork. Where to apply Website https://www.cibio.up.pt/en/jobs/ Requirements Research FieldBiological sciences » ZoologyEducation LevelMaster Degree
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National Aeronautics and Space Administration (NASA) | Huntsville, Alabama | United States | 6 days ago
development, laboratory testing, mission operations, flight hardware integration, calibration campaigns, and scientific analysis of flight data from current and future sounding rocket investigations
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maintain all data files to support analysis, including documentation of methods and decisions Lead and/or collaborate in data analysis (qualitative, quantitative) throughout the span of the projects