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to EMR system maintenance and upgrades. Additional Duties as assigned. Required Qualifications Bachelor's degree in Data Science, Analytics, Economics, Finance, Statistics, Mathematics, Actuarial Sciences
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: Exempt ---- Earliest Start Date: May 16, 2024 ---- Position Duration: Expected to Continue Until Aug 31, 2024 ---- Location: UT MAIN CAMPUS ---- Job Details: Purpose Conduct advanced statistical analyses
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Conduct, manage, and grow basic and applied research programs in defense-related disciplines such as signal processing, statistical modeling, information fusion, underwater acoustics, propagation modeling
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of Campus Security Policy and Crime Statistics Act (Clery Act). If this position is identified a Campus Security Authority (Clery Act), you will be notified and provided resources for reporting. Responsible
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hardware interfacing for IoT/edge computing Applied statistics and analysis experience Research experience developing and using AI/ML/DL methods Involvement in scientific communities Experience with software
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: Employees may be required to report violations of law under Title IX and the Jeanne Clery Disclosure of Campus Security Policy and Crime Statistics Act (Clery Act). If this position is identified a Campus
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: Employees may be required to report violations of law under Title IX and the Jeanne Clery Disclosure of Campus Security Policy and Crime Statistics Act (Clery Act). If this position is identified a Campus
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of Campus Security Policy and Crime Statistics Act (Clery Act). If this position is identified a Campus Security Authority (Clery Act), you will be notified and provided resources for reporting. Responsible
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managing the development, implementation, analysis, and write-up of quantitative research. Strong interest and involvement in civil society and democracy. Strong statistical skills. Preferred Qualifications
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Systems, Linux/Unix, etc. Experience with topics complementary to transportation asset management (i.e., materials, design, performance and management of civil infrastructure, statistics and data sciences