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technologies, and in advancing data-driven risk monitoring approaches for supply chain resilience. The candidate will assist with data collection, analysis, and scenario modeling for a DOE-sponsored assessment
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to submitting your application, please review and update (if necessary) the information in your candidate profile as it will transfer to your application. Job Title: Post Doc Department: Medicine | Psychiatry
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tasks include planning, conducting, and publishing epidemiological studies using large-scale observational data, primarily register-based, focusing on women’s short- and long-term health outcomes within
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the PI and other research personnel to collect, compile, and analyze human data. Job Duties Plans, directs and conducts research projects under the guidance of the PI. Communicates effectively with
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 3 hours ago
, including identifying problems in detail; recording, analyzing and tabulating data obtained; recommending solutions where required; and reporting or publishing final results. Duties/Responsibilities Gather
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the Centre’s wider ethos of coproduction. Using your experience in quantitative data analysis, you will examine the links between mental distress and work, care and welfare. You will take forward some selected
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Position Details Position Information Announcement Number STAFF - VA - 26260 For questions regarding this position, please contact: Molly Patten Business Office Manager molly.patten@montana.edu
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to submitting your application, please review and update (if necessary) the information in your candidate profile as it will transfer to your application. Job Title: Researcher - Comprehensive Cancer Center
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assist with grant-sponsored activities including data analysis, project development, reporting and manuscript generation. Duties/Responsibilities (80%) Carry out grant-sponsored activities including data
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in pediatric or related health sciences fields. Scientific Knowledge: Strong understanding of research design, statistical analysis, and data interpretation methods relevant to pediatric research