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23 Jan 2026 Job Information Organisation/Company NEW YORK UNIVERSITY ABU DHABI Research Field Computer science Engineering Engineering Researcher Profile Recognised Researcher (R2) Established
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at: https://www.umu.se/en/department-of-computing-science/ Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We are interested in data driven models
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40 Offer Starting Date 21 Jan 2026 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
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The University of Alaska Anchorage (UAA) Department of Computer Science and Engineering is accepting applications for a Post-Doctoral Fellow in the area of remote sensing and data science. The
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imaging, computer vision, and predictive modelling. The postdoc will further develop an existing rumen‑fill scoring algorithm into a functional prototype and pilot the technology for longitudinal monitoring
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is home to three million people and rich cultural resources. Information about Carleton, Northfield, and the Twin Cities is available at https://www.carleton.edu/faculty-candidates/ . Carleton College
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Previous Job Job Title Postdoctoral Research Scholar, Weed Science Program Next Job Apply for Job Job ID 58392 Location Columbia Full/Part Time Full-Time Add to My Favorite Jobs Email this Job Job
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, and ICCV2025. His work has been published numerous times in top computer vision conferences and journals such as CVPR (x13), ECCV (x6), ICCV (x3), IJCV (x3) and PAMI (x1). His work received a best paper
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record relevant to the topic - publications in top journals or conferences (e.g. computer vision (CVPR/ICCV/ECCV), machine learning (NeurIPS/ICML), or robotics (ICRA, IROS, RSS, CoRL; IEEE-TRO, IJRR
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George Emil Palade University of Medicine, Pharmacy, Science, and Technology of Târgu Mureș | Romania | 21 days ago
.. Image registration methods: a survey. — classic, highly cited survey covering geometric transforms, similarity metrics, and evaluation. Image and Vision Computing 21 (2003) 977–1000. Guan, SY., Wang, TM