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Field
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approaches, with a particular emphasis on imaging mass cytometry and transcriptomic analysis of human brain tissue. We are seeking a highly motivated and intellectually curious scientist who is passionate
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National Aeronautics and Space Administration (NASA) | Hampton, Virginia | United States | 15 days ago
of the relationship between process-induced microstructural variability and mechanical performance. The broad vision of this work is to develop computational tools and frameworks that connect microstructure
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team with an international reputation for producing high-quality research outcomes in the area of animal behaviour. This project involves establishing and imaging butterfly courtship interactions within
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language models (LLMs) and vision-language models (VLMs), you will investigate AI behavior, develop innovative evaluation methods, and translate scientific insights into real-world applications that improve
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Sign In Create Profile Postdoctoral Research Associate, Radiology and Imaging Services Tucson, AZ, United States | req26573 Apply Now Share Save Job Posted on: 7/21/2026 Back to Search Postdoctoral
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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 Offer Description Leverage computer vision, smart
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Laboratory of Oceanography of Villefranche | Villefranche sur Mer, Provence Alpes Cote d Azur | France | 18 days ago
remain undisclosed in the majority of dinoflagellates blooms, deciphering their sea-air transfer is urgently needed. By addressing the knowledge gaps, UNIVOC aims at reshaping our vision of airborne
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researches the new paradigm of photography embedded in contemporary mobile phone cameras and promoted as “AI-assisted” since 2024. It examines the extractive image processing involved in AI image making
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researches the new paradigm of photography embedded in contemporary mobile phone cameras and promoted as “AI-assisted” since 2024. It examines the extractive image processing involved in AI image making
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. Experience applying computer vision, image analysis, and/or machine-learning methods to microscopy or materials characterization data. Demonstrated ability to analyze microstructural data and relate