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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
, implementation, analysis, and data management; (2) training and collaborating with students, staff, and faculty in experiments and educational activities directed toward the determination of molecular structure by
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scientists, engineers, and member partners to facilitate networking and collaborative research. About the Institute for Innovation Science: Our mission is to advance society’s understanding of the mindsets
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enjoy a relaxing lunch break with a lake view Successful start: It is important to us that you quickly settle into the team and are given structured training for your tasks. We also support you from
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animal movement analyses. Geospatial analysis, GIS, and remote sensing. Statistical, ecological, and machine-learning modeling using modern analytical software (e.g., R or Python). Google Earth Engine and
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on the campus of Pohang University of Science and Technology (POSTECH) in Pohang, South Korea. Detailed research objectives and directions can be found on the webpage (https://www.ibs.re.kr/cgp/ ). Successful
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, leading and co-leading intervention, intensive longitudinal data, implementation, and technology development projects aligned with the lab's mission and contributing to mentorship of students and staff
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | 2 months ago
CRISTAL mission Impact of rain-on-snow events and/or slush on ice thickness and snow depth retrievals Development of products relevant for northern communities Your Profile Master's degree in engineering
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you for our team, where you’ll collaborate to deliver high-quality results in the emerging area of AI security. The CERT Division of the Software Engineering Institute (SEI) is seeking applicants
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across pediatric and adult cerebrovascular populations. The position will be fully research-focused (100% protected effort), with structured integration across clinical and imaging divisions. Core
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predictive models of formation alteration. The project is funded by Eni S.p.A through the UK Energy Futures (ukenergyfutures.org ). research partnership, bringing together geoscientists, engineers, and social