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the HAITrans research group 58 Centre for Translation Studies Startdate: 01.04.2026 | Working hours: 20 | Collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc) Limited until: 31.03.2032 Reference
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The applicant must: hold a PhD in a relevant field (e.g. computer science, artificial intelligence, machine learning, computer vision, animal science, biology, veterinary medicine, or a related discipline) have
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23 Jan 2026 Job Information Organisation/Company AI4I Research Field Engineering » Computer engineering Computer science Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions
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want to hear from you! Your Job: Work on a wide range of computer vision and machine learning methods and applications focusing on the aspects outlined above, inspired by the needs of societally relevant
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methods relying on machine learning, artificial intelligence, or other computational techniques. The applicant is expected to develop and apply data-driven and machine learning-based methods. Special
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 17 hours ago
the development and implementation of machine learning models Special Physical/Mental Requirements Special Instructions For information on UNC Postdoctoral Benefits and Services click here Quick Link https
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20 Feb 2026 Job Information Organisation/Company Polish Air Force University (PAFU) Research Field Other Researcher Profile Established Researcher (R3) Positions Postdoc Positions Application
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About the Opportunity About Northeastern: Founded in 1898, Northeastern is a global research (R1) university and the recognized leader in experience-driven lifelong learning. Our world-renowned
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machine learning are encouraged to apply. The postdoc will also play a leading role in co-mentoring graduate and undergraduate students, assist in organizing seminars and activities related to RTG
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machine learning technologies in order to provide evidence-based decision support tools in near real time across a variety of thematic domains: disaster risk reduction, sustainable agri-food systems