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Summary The Summer Instructional Teacher will provide academic instruction and classroom support for the BGSU Upward Bound Summer Residential Learning Community. This federally funded program is
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://pubmed.ncbi.nlm.nih.gov/40817680/ ). This program advances next-generation patient-specific organoid systems for skin disease modelling and therapeutic discovery. We are specifically seeking early career researchers who
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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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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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6 Mar 2026 Job Information Organisation/Company CNRS Department Laboratoire lorrain de recherche en informatique et ses applications Research Field Computer science Mathematics » Algorithms
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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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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 5 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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systems, advanced sensing technologies, application of deep learning and AI for wireless systems, etc. For more details, please view: https://www.ntu.edu.sg/eee We invite applications for the position
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of statistics and epidemiology, using modern computational approaches to improve inference for real-world transmission models. The project seeks to deliver robust and scalable alternatives to traditional data