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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 5 days ago
to the applicant. However, our group can train a motivated candidate in computational analysis of sequencing data. Create a Job Match for Similar Jobs About The University of North Carolina at Chapel Hill Carolina
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
Description The Center for Interdisciplinary Data Science and AI (CIDSAI) at NYU Abu Dhabi is a cross‑disciplinary hub where mathematicians, computer scientists, engineers, and social scientists
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We are seeking a Post-Doctoral Research Fellow to join the UKRI AHRC-funded project "Federated Data Commons for Creative Communities" (FDCC) at the University of the Arts London. This 15-month, part
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Employer https://main.hercjobs.org/jobs/22167044/post-doctoral-associate-in-the-division-of-engineering-x28-electrical-and-computer-engineering-x29-dr-qurrat-ul-ain-nadeem Return to Search Results
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21 Mar 2026 Job Information Organisation/Company CNRS Department Institut de biologie de l'Ecole Normale Supérieure Research Field Mathematics Researcher Profile First Stage Researcher (R1
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). Where to apply Website https://aau.varbi.com/en/what:job/jobID:898675/type:job/where:39/apply:1 Requirements Additional Information Work Location(s) Number of offers available1Company/InstituteAalborg
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or equivalent LevelGood Research FieldMathematics Additional Information Website for additional job details https://www.impan.pl/en/job-offers/open-calls Work Location(s) Number of offers available1Company
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focus on Computer Vision, pattern recognition, and visual generative modeling. CVI2 offers the opportunity to contribute to a diverse portfolio of projects, including collaborations with industrial
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Join and help us to derive global forest biomass data from the European Space Agency’s Biomass satellite mission. If you have interests in remote sensing, machine learning and forests, this is the
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) techniques, especially to environmental data. Proficiency in remote sensing and geospatial data analysis. Expertise in computer vision and image analysis, particularly for drone or satellite imagery