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than the host institution for the project and in another country than the one in which they have been conferred a PhD degree. ^ https://monitor.uw.edu.pl/Lists/Uchway/Attachments/4934/EN.M.2019.190.U.443
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on health data as well as training AI models on health data across national borders. Key responsibilities Design, implement and benchmark machine learning models for large-scale health datasets consisting
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perception at the landscape scale under different scenarios and employ behavioural experiments and Big Data analytics to understand how changes in time perception influence pro-environmental and sustainable
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
30 Jul 2026 Job Information Organisation/Company NEW YORK UNIVERSITY ABU DHABI Research Field Computer science Mathematics Researcher Profile Recognised Researcher (R2) Established Researcher (R3
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FieldEnvironmental scienceYears of Research Experience4 - 10 Research FieldTechnologyYears of Research Experience4 - 10 Additional Information Website for additional job details https://academicpositions.com Work
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rodents, and rodent surgeries. They will participate in project conception, data acquisition, analyses and dissemination of work including conference presentations and manuscript publication. They will also
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economists, physicians, and statisticians—on projects that bridge methods, policy, and practice. Position Description: This role will involve intensive analysis of claims data and related large administrative
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to the Stockholm-Arlanda international airport. For more information about the department visit: https://www.slu.se/en/departments/plant-biology-forest-genetics/ Read more about our benefits and working at SLU by
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University More Jobs from This Employer https://main.hercjobs.org/jobs/22461254/post-doctoral-associate-in-the-center-for-interdisciplinary-data-science-and-artificial-intelligence-x28-cidsai-x29-dr-pierre
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.2022111885 https://doi.org/10.1016/j.tplants.2023.04.006 . To reach its aims, the lab uses a large set of interdisciplinary approaches, including genetics, molecular methods, and genomics. About the project