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Search website Search Language selection Français Topics menu Application process Fellowship overview Eligibility Application guide Information for host institutions Information for referees Equity
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publication list Two educational or professional recommendations All documents must be in English or include an official English translation. Connect with ORISE...on the GO! Download the new ORISE GO mobile
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15th August 2025 Languages English English Norsk Nynorsk English PhD Research Fellowship in Digital Culture with the Center for Digital Narrative Apply for this job See advertisement UiB - Knowledge
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the selected language for the website. Utløpsdato: 2 dager Navn: jobbnorge.language Leverandør: .jobbnorge.no Databehandlingsansvarlig: Piwik PRO Formål: Samler informasjon om brukerne og deres aktivitet på
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of proficiency in English (if required, cf. English language requirements for PhD admission ) a list of any works of a scientific nature (publication list) The application and appendices with certified
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in the sea (field trials) and/or microplastics will be highly weighted in the selection process. Ability to speak Norwegian or another Scandinavian language will be considered as strong merit and will
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of Perovskite vacuum processes and other vacuum-based techniques for building multilayered structures, using both organic and inorganic materials. This role involves ensuring the successful implementation and
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language models and other natural language processing techniques applied to language understanding and the next generation of search engines. AI + Health: This area levarages AI to study and solve complex
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in NLP. Completed a PhD or equivalent qualification or research experience in machine learning, natural language processing and image processing. Emerging track record and recognition for quality
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PhD Research Fellowships: Artificial Intelligence Adoption, Sustainable Finance, and Twin Transition
knowledge of artificial intelligence and knowledge of natural language processing. Proficiency in statistical analysis, such as econometrics and machine learning for survey data analysis. Experience with data