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, technology, engineering, and mathematics (STEM) experts who are critically important to the overall Department of Homeland Security mission. As a participant in the Research Fellowship Program, you will
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Statistics or Mathematics and a strong working knowledge of R programming. Knowledge of databases and SQL are also desirable. You must have excellent communication skills and be able to communicate complex
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theory (e.g., syntax, semantics, phonology) is preferred. Prior research experience (e.g., undergraduate thesis, RA work or other independent projects) in psycholinguistics, neurolinguistics, or adjacent
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STEM (Science, Technology, Engineering and Mathematics) Academy. As the second oldest land-grant institution in the state of Arkansas, the mission of this No Excuse University remains the same
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evaluation activities across the Centre, in accordance with the Theory of Change and evaluation protocols Undertaking evidence reviews Promote equality and value diversity, acting as a role model and fostering
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, or community-based research. Strong knowledge of qualitative analysis methods, such as thematic analysis, content analysis, grounded theory-informed coding, abductive analysis, or mixed-methods synthesis
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STEM (Science, Technology, Engineering and Mathematics) Academy. As the second oldest land-grant institution in the state of Arkansas, the mission of this No Excuse University remains the same
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preparation. Receives substantial training in interpersonal theory and suicidology. Acts as a participant recruitment and retention; data management; general research administration. Prepares grants
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Grant Geotechnical Group Endowment Travel Scholarship Application is required. Check eligibility Key scholarship details Application status Open for applications Applications open 29 May 2026 Applications close 28 Jul 2026 Benefit amount Up to $3,500 Eligible study level Graduate...
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. degree in meteorology, physics, mathematics, or a related field Good knowledge in data handling and machine learning Good knowledge in software development, data processing and visualization with Python