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and Machine Learning tools and algorithms to solve hydrology and water resources problems. Familiarity with high-performance computing (HPC), cloud platforms, or GPU clusters. Demonstrated ability
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. Responsibilities* Design, implement, and evaluate LiDAR-based experiments in lab and real-world settings. Develop and test algorithms for object detection, tracking, and classification using LiDAR sensors. Help
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multiple types of high-dimensional data. Researching and implementing novel algorithms for analysis of latent factors and their dynamics. Conducting literature searches, manuscript preparation, and
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for THRIVE and other studies within the department. Communicate with study participants via email and phone for recruitment and screening, scheduling study visits, troubleshooting study technology, and other
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). This job is situated onsite in Ann Arbor and in-person work is expected five days a week. The anticipated schedule for this position is daytime hours Monday through Friday (exact schedule to be determined
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such as substance use, traumatic events, and suicidal ideation with participants and their families. Schedule must be flexible to allow for work on school days-off, evenings and weekends. Your own
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clinical research studies. Seeking highly motivated, positive, organized, and autonomous individual. As a member of this team, you will collect primary data, schedule participants, assist with regulatory
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applications, amendments and scheduled continuing reviews, progress reports, safety reports and adverse event reports In coordination with other CTSU staff, communicate with sponsors concerning progress
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, and/or knowledge of the research process. Bachelor's degree in health science, social science, or an equivalent combination of related education and experience. Work Schedule Our team members work four
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. The anticipated schedule for this position will be daytime hours Monday through Friday (exact schedule to be determined with the supervisor). This is a full-time, one-year, term-limited position with