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yields. Design robust uncertainty and OOD metrics for time-series satellite images and their foundation model embeddings to safely flag anomalies. Disseminate your research results by writing high-quality
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7 Mar 2026 Job Information Organisation/Company CNRS Department Laboratoire d'informatique en image et systèmes d'information Research Field Physics Researcher Profile First Stage Researcher (R1
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, 9,000 employees and 43,000 students work to create knowledge for a better world. You will find more information about working at NTNU and the application process here. ... (Video unable to load from
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in Trondheim. At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world. You will find more information about working at NTNU and the application process here. ... (Video
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-impact weather A dedicated computer scientist/software engineer works alongside you to set up ICON-CLM on the HPC systems, support simulations and manage large data volumes—so you can focus on the science
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Chair of Biological Imaging 02.02.2026, Academic staff We are looking for a researcher (m/f/x) ready to try new techniques and approaches and explore and tweak them until they work. The lab
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of space (mesosphere and lower thermosphere, MLT). The advertised position is primarily linked to the study of different metal atoms in the MLT and their relation to the re-entry of space debris. The project
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imaging. Your Profile: The successful applicant must have the following: • Master’s degree in physics, biophysics, biomedical engineering, computer engineering or electrical engineering. • Excellent track
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About The University of Texas at El Paso: ABOUT THE ECE DEPARTMENT: The Department of Electrical and Computer Engineering at UTEP (http://ece.utep.edu ) offers two undergraduate and three graduate
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | 28 days ago
in particular computer vision. Particular topics of interest include visual comprehension, hyperspectral imaging, numerical and parallel optimization, and unsupervised learning. A particular emphasis