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and measuring corrosion data into a unified knowledge base. On the digital side, the project will employ natural language processing and AI-driven data extraction to automatically harvest corrosion data
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https://www.ubbcluj.ro/ro/infoubb/posturi_vacante/files/cercetare/2026/355/anunt.pdf https://www.ubbcluj.ro/ro/infoubb/posturi_vacante/files/cercetare/2026/355/anunt_en.pdf https://www.ubbcluj.ro/ro
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/it/ateneo/amministrazione/concorsi/procedure-di-reclutamen… Requirements Research FieldEngineeringEducation LevelPhD or equivalent LanguagesITALIANLevelMother Tongue LanguagesENGLISHLevelGood
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can be adapted to fit other ongoing projects in the research group for cooperation and mutual benefit. See https://www.inn.no/english/research/our-research/forest-research/ for examples of projects
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international profile, you must be able to communicate fluently in spoken and written English. Previous publications from conferences in computer vision or machine learning are considered a merit. Your workplace
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adaptation is crucial for both natural plant populations and crops. Heritable trait variation fuels such adaptation. While heritable trait variation in plants can arise from genetic and epigenetic sources
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knowledge for a better world. You will find more information about working at NTNU and the application process here. About the position Long term management of large scale computing infrastructures requires
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, T. (2022). Color formation and Maillard reactions during the spray drying process of skim milk and model systems. Journal of Food Process Engineering, 45(1), e13936. https://doi.org/10.1111/jfpe.13936
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. Department of Biology We work with global challenges in natural diversity, climate, the environment, health and nutrition. Our expertise in biological processes at all levels – from molecules to ecosystems
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The project is interdisciplinary, co-supervised by the GREYC and MODYCO laboratories, with support from the NIMH laboratory. It combines Natural Language Processing, linguistics, and cognitive psychology in