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patterns, and (4) environmental impact assessments. For more information on the project, see https://sustainability-governance.net/2026/06/29/erc-advanced-grant-gap… . Location Leuphana University Lüneburg
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The Faculty of Engineering and Health Sciences provides education and conducts research in engineering, health and information design, with a clear focus on addressing societal challenges. Our
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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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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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strong focus on digital data and methods. The successful candidate is expected to benefit from and collaborate with other team members, including the PI and approximately ten other researchers (MSc and PhD
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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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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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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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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