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English English PhD Research Fellow in Formal Methods and Knowledge Representation for Engineering Information Apply for this job See advertisement About the position We invite applications for a PhD
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Informatics and edge intelligence etc. Must have documented significant Knowledge/Research Background, or Must be able to demonstrate skills on Data Analytics and Machine Learning, in particular on distributed
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code 1017, PhD candidate in the Government Salary Scale. Membership in the Norwegian Public Service Pension, with among other things, good pension and insurance schemes. For more information about INN
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activities, seminars, workshops, and collaborative initiatives. Detailed information about each project, including the host department, PhD programme, starting date, and project-specific qualification
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/these factor(s) in depth in Norway with a qualitative approach (e.g. interviews or classroom observations). The PhD Fellow will be expected to be able to use advanced quantitative methods to analyze ILSA data
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tourism organisations for the total duration of three months during the employment period. A total of 10 PhD vacancies is available across the six universities. For more information, check out
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the Norwegian educational system For more information see: The purpose of the fellowship is research training leading to the successful completion of a PhD degree. All candidates and projects will have to undergo
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approach (e.g. interviews or classroom observations). The PhD Fellow will be expected to be able to use advanced quantitative methods to analyze ILSA data. The successful candidate should have prior
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project. The PhD candidate must take part in the Faculty of Social Sciences’ approved PhD program (TIK track) and is expected to complete the project within the set fellowship period. For more information