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with electronic data capture systems (e.g., EMR or EHR and data management systems). Conditions of Employment: Applicants must be legally authorized to work in the United States without requiring
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Previous Job Job Title Assistant Professor (Tenure Track) – Biostatistics and Health Data Science Next Job Apply for Job Job ID 376101 Location Twin Cities Job Family Academic Full/Part Time Full
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waiver education program, membership in the California Public Employees Retirement System (PERS), and 15 paid holidays per year. Additional benefits information can be found at https://www.humboldt.edu/hr
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21 Aug 2026 Job Information Organisation/Company FAPESP - São Paulo Research Foundation Research Field Agricultural sciences Researcher Profile Established Researcher (R3) Application Deadline 5 Sep
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-track Assistant Professor in Marine Biogeochemistry and Paleoceanography. Detailed Position Information The Department of Geological Sciences at The University of Alabama invites applications for a tenure
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analytics tools like dashboards influence student decision-making and self-regulation. We aim to identify key design features (e.g., data metrics, prompts) and evaluate their impact on student outcomes
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, and program development in collaboration with CAPS Faculty Director and the Director of Administration. Lead the Center’s and the Department’s data and analytics function to support evidence-based
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22 Aug 2026 Job Information Organisation/Company FAPESP - São Paulo Research Foundation Research Field Computer science Researcher Profile Established Researcher (R3) Application Deadline 5 Sep 2026
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
Posting Information Posting Details Department Applied Physical Sciences - 318100 Posting Open Date 09/18/2026 Application Deadline 10/02/2026 Open Until Filled No Position Type Postdoctoral Scholar
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funded at 0.8 FTE. The successful applicants will undertake qualitative research, including collecting and analysing data from interviews and focus groups; analysing data using established qualitative