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: Bayesian methodologies, temporal or geospatial prediction, network analysis, text analytics, statistical learning, or causal inference. Required Application Materials Electronic submission is
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% effort to the NAHLN-NBAF partnership by leading regional efforts to advance diagnostic innovation, strengthen early detection of emerging animal and zoonotic diseases, and enhance coordination across
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Position Summary The scholar will develop and validate an early post-traumatic osteoarthritis detection platform integrating infrapatellar fat pad ultrasound, wearable per-stride loading analytics
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Multiple Research-Intensive Associate/Full Professor Tenure System Positions & an 1855 Professorship
Position Requirements and Apply to job #1059449 https://careers.msu.edu/jobs/associate-full-professor-tenure-system-flint-michigan-united-states-86556cc5-396d-471e-b100-1e0d63e7d387 Multiple Associate
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through AI-driven vulnerability discovery, malware analysis, intrusion detection, fraud prevention, threat intelligence, and automated response. These methods enable the analysis of large-scale
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, and microwave vehicle detection system (MVDS) data. Experience with speed data collection using lidar and radar in a field setting. Experience with advanced statistical and econometric methods of
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other institutions including the U.S. Department of Agriculture and several universities to improve upon existing remotely sensed data, develop new methods for detection of land management practices
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potential additions to the collection, ongoing contributions and updates to object files in accordance with best practices and field-wide standards. Grant Development: Participate in the curatorial
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expertise include but are not limited to health economics, policy analysis, implementation science, geospatial analysis, biostatistics and research design, AI analytics, agent-based modeling, Bayesian
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, Bayesian methods, and statistical genetics. This is a one-year, full-time position, with continuation into year two contingent on performance, progress, and compliance with program expectations