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data engineering, applied analytics, and responsible AI. Position Details Hours: Part-time, 5–20 hours per week (flexible scheduling) Pay: $12/hour Appointment type: Hourly Job Duties Typical
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studies, and biochemical interaction assays. Demonstrated success in developing innovative genome engineering strategies. Strong research management and project coordination skills, including rigorous data
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in peer-reviewed journals and present findings at scientific conferences. Teach and develop curriculum in AI, bioinformatics, and biomedical data science. Mentor students, trainees, and junior
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job-related duties as required. Required Qualifications: -Ph.D. in Agricultural Engineering, Computer Science, Data Science, Information Systems, or related field -Some experience applying analytics
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or medical informatics venues provides evidence of research capability. The appointee adheres strictly to institutional data security and AI governance standards throughout all project phases. Minimum
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Details Title Pre-Doctoral Fellowship in International Finance & Macroeconomics (Prof. Gopinath) School Faculty of Arts and Sciences Department/Area Economics Position Description This is an
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(https://engineering.pitt.edu/bioengineering ) invites applications from accomplished individuals with a PhD or equivalent degree in bioengineering, electrical engineering, or a closely related discipline
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University of Massachusetts Medical School | Worcester, Massachusetts | United States | about 1 month ago
: Include publication list and detailed computational skill set. References: Contact information for at least two referees (email and phone). Equal Opportunity Employer UMass Chan Medical School is committed
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community discourse and/or science civic engagement. The RAP will lead ongoing qualitative and quantitative data and manuscript development related to the NSF grant My Impact: Experiential Learning in a Large
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data. The appointed Post-Doctoral Research Associate will lead the development and administration of surveys, derive appropriate theoretical and empirical approaches for analyzing survey data, and assist