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empowers people to achieve this aim and to collectively, and individually, make a real difference. The role Postdoctoral position in linguistic phylogenetics and computational tool building Prof Erich Round
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About the Opportunity Job Summary: The Bouvé College of Health Sciences at Northeastern University (Boston Campus) invites applications for a postdoctoral fellowship in Public Health and Technology
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. The Postdoctoral fellow will collaborate closely with international project partners and contribute to advancing next-generation AI systems for edge computing. The scientific outcomes are expected to be published in
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 7 hours ago
22 Apr 2026 Job Information Organisation/Company AUSTRALIAN NATIONAL UNIVERSITY (ANU) Research Field Biological sciences Computer science Mathematics Researcher Profile Recognised Researcher (R2
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Carnegie Mellon University’s Robotics Institute is searching for a Postdoctoral Fellow to join their team. This is an exciting opportunity for someone who thrives in an interesting and challenging
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35 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Call for
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engineering, as well as computer vision, imaging, hyperspectral imaging, machine learning techniques in food and agricultural area, is desired. A understanding of modern AI model development Stipend $70,000.00
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Academic Job Category Faculty Non Bargaining Job Title Postdoctoral Research Fellow Department Research | Cheng Lab | Faculty of Pharmaceutical Sciences | (Miffy Cheng) Posting End Date May 10, 2026
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scientific vision who aim to develop a competitive MSCA Postdoctoral Fellowship proposal within a focused and intellectually stimulating research environment. Particular attention will be given to originality
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reproducible analysis workflows Familiarity with computational models of vision and machine learning methods (for example CNNs, deep generative models, encoding models) is preferred but not required Ability