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both natural and highly polluted conditions, and how these processes can be represented in models to theoretically assess the potential of cirrus cloud thinning as a climate intervention strategy. The
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Posting Details Student Title Classification Information Quick Link https://chapman.peopleadmin.com/postings/39053 Job Number SE176624 Position Information Department or Unit Name Languages Position
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natural language processing. The post will be 1 FTE for a duration of up to 12 months, from March 2026. The successful candidate will carry out their work under the direction of Prof Michael Madden in
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looking for part-time faculty to teach courses across the program with special emphasis on applied artificial intelligence, machine learning, natural language processing, computer vision, and experiential
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LanguagesDUTCHLevelMother Tongue LanguagesFRENCHLevelExcellent LanguagesITALIANLevelExcellent LanguagesSPANISHLevelExcellent LanguagesENGLISHLevelExcellent Research FieldJuridical sciences » Social lawYears of Research
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programme Biochemistry & Molecular Biology, and other relevant programmes at the University of Bayreuth. The ability to teach in English and German is expected. The general administrative requirements
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Research FieldEngineering » Electronic engineering Internal Application form(s) needed PHELMA CROMA MCF 63 ENG.pdf English (680.71 KB - PDF) Download Additional Information Selection process Applications
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, including the publication of research articles in the field of AI, in particular (in the order of importance): Applications of modern natural language processing methods, like LLMs, for the construction and
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walking radius, which ensures comparability between cities. The indicators will be organized into three key dimensions for urban biodiversity: ecological context, anthropogenic elements, and natural
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radical polymerization (ATRP and related methods, RAFT, NMP), anionic polymerization, and polyaddition polymerization. We also conduct post-modifications of both natural and synthetic polymers. The main