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education strategy, storytelling, and technical work? This position might be for you. We are hiring three roles including: Undergraduate web design & development team Undergraduate administrative Graduate
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The Quantum Semiconductor Systems Group under the direction of Prof. Michael Manfra seeks a scientist with expertise in semiconductor nanofabrication to support several projects related to the development and
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seeking a Postdoctoral Associate to join our dark matter group and work on the LZ experiment as well as the development of new detector technologies. LZ is a dual-phase liquid xenon time projection chamber
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on the development and evaluation of interventions to improve substance use and infectious disease outcomes. Work in the lab also incorporates implementation science approaches to improve substance use and infectious
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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
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part of PRECISE (Purdue Resources Empowering Coordinated Investigations for Sample Exploration), a NASA Planetary Science Enabling Facility. The position will include development of new laboratory
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learning; software development Preferred Qualifications: Excellent academic writing ability on quantitative topics Familiarity with relevant software environments (e.g., R, Python, SPSS) Expertise in
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, to identify and characterize novel transcriptional regulatory mechanisms that control traits of agronomic importance. This project thus offers a unique opportunity to train a future leader in combining
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of different disciplines and include development of both technical and professional skills to ensure the most successful outcome for individual growth and career preparation. The Institute for Digital Forestry
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for detector support mechanics and cooling, as well as an in-house facility to design, develop and build silicon detectors. At Purdue we also operate a Tier-2 computer center, providing resources for data