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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Public competition for a D3 Research Technologist, with
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internationally renowned professors to propose a research model based on dialogue and collaboration across disciplines. Where to apply Website https://www.unibz.it/en/faculties/design-art/phd-experimental-research
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to apply Website https://cv.newton-6g.eu/ Requirements Research FieldEngineering » Computer engineeringEducation LevelMaster Degree or equivalent Research FieldEngineering » Electrical engineeringEducation
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intelligent transportation systems (ITS), with an emphasis on developing and deploying state-of-the-art Large-Language Models (LLMs), Vision-Language Models (VLMs), and Vision-Language-Action (VLA) models
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National Aeronautics and Space Administration (NASA) | New York City, New York | United States | about 16 hours ago
. Candidates must possess an exceptional background demonstrating expertise across atmospheric physics, computational modeling, and data science. Knowledge of atmospheric science or meteorology, and computer
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and Energy (HDS-LEE), the project offers an interdisciplinary research environment at the interface of bioengineering, computational biophysics, and data-driven modeling, with strong links to open
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by Dr. Tim Pleskac (cognitive and decision modeling) and Dr. David Crandall (computer vision and AI). The postdoc will lead the development, integration, and testing of computational models of decision
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3 Mar 2026 Job Information Organisation/Company UNIVERSITE DE PAU Research Field Computer science » Programming Computer science » Database management Computer science » Modelling tools Researcher
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computation and fusion, systems and software, or modeling multi-layer networks, and active participation in research projects and leading a group of highly motivated Ph.D. students is desired. Urban
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analysis / computer vision, ideally on microscopy or time-lapse data Experience in at least one of: tracking / time-series analysis, probabilistic modelling / uncertainty, real-time or streaming pipelines