414 master-"https:" "https:" "https:" "https:" "Robert Gordon University" Fellowship positions in Norway
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plague outbreaks in Eurasia between 1300 and 1900 CE. A short description of the project can be found here: https://www.synergy-plague.org/research/introduction/. The project is funded through the European
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of Technology), and Denmark (University of Southern Denmark), together with relevant stakeholders in each country. Your main tasks are to be conducted in Norway, but you are expected to contribute to the overall
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documentation studies, English, Kven, Finnish, Norwegian, Russian, Sami, Spanish, and German, as one-year programmes, as well as full Bachelor and Master programmes (including three international programmes
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studies, English, Kven, Finnish, Norwegian, Russian, Sami, Spanish, and German, as one-year programmes, as well as full Bachelor and Master programmes (including three international programmes
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of EU/ EEA countries and exemptions from the requirements: https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8 Grade requirements: The norm is as follows: The average grade point
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and written communication skills in English English requirements for applicants from outside of EU/ EEA countries and exemptions from the requirements: https://www.mn.uio.no/english/research/phd
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: linguistics, literature, art history, media and documentation studies, English, Kven, Finnish, Norwegian, Russian, Sami, Spanish, and German, as one-year programmes, as well as full Bachelor and Master
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, please see: http://www.mn.uio.no/ifi/english/research/groups/ltg/ The successful applicant will benefit from close collaboration across disciplines and access to diverse application areas through the joint
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the criteria to obtain a security clearance according to the Norwegian Security Act § 5-3. This position also requires: a Norwegian master's degree (or equivalent) in Computer Science or AI related
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performance guarantees, addressing several pressing challenges in contemporary streaming data scenarios, such as evolving baselines and complex, data-intensive settings. The applicant must master theoretical