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17 Jan 2026 Job Information Organisation/Company SLU Research Field Computer science Researcher Profile Recognised Researcher (R2) Application Deadline 27 Feb 2026 - 12:00 (UTC) Country Sweden Type
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application system: https://www.leibniz-inm.de/en/job-offers-2/ For further information on this position, please contact INM Scientific Directors Prof. Dr. Aránzazu del Campo (aranzazu.delcampo(at)leibniz
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Swedish University of Agricultural Sciences (SLU) is seeking a postdoctoral researcher with strong methodological expertise in AI and computer vision for research focusing on animal welfare and
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 2 hours ago
distribution on a global scale. This project will focus on developing a strategy to best utilize this data in a global atmospheric data assimilation framework. Activities that would be involved in this project
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. Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants . This is a term position
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Resilience, we are seeking as of February 2026 a Postdoctoral Researcher in Quantitative Psychology / Data Science in Psychology Reference number: 2025-0319 Your Tasks The successful candidate will use
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Job Posting Title: Postdoctoral in Cognitive and Behavioral Data Science ---- Hiring Department: Department of Psychology ---- Position Open To: All Applicants ---- Weekly Scheduled Hours: 40
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At the Technical Faculty of IT and Design, Department of Sustainability and Planning (PLAN), a Postdoc position in Satellite Data Processing and Machine/Deep Learning is open for appointment from
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with disabilities will take precedence. Where to apply Website https://www.pks.mpg.de/CMpd26 Requirements Research FieldPhysicsEducation LevelPhD or equivalent Additional Information Work Location(s
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to support a circular bioeconomy. We are seeking a highly motivated postdoctoral researcher to develop and apply machine‑learning and data‑science methods, with a focus on computer vision, to enhance wood