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to the level of a doctoral degree. Admission to the PhD programme is a prerequisite for employment, and the programme period starts on commencement of the position. The PhD fellow position is for a period of
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contribute to cargo selectivity. The position is for a period of four years. The nominal length of the PhD programme is three years. The fourth year is distributed as 25 % each year and will consist
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doctoral degree. Admission to the PhD programme is a prerequisite for employment, and the programme period starts on commencement of the position. The workplace is at UiT in Tromsø. You must be able to start
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neurotechnologies. The goal is to contribute broadly to research on applications of AI in medicine, and in particular to the development and validation of novel computational language models, algorithms, and tools
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must complete a language course equal to 15 ECTS before the end of the fixed-term period. UiT will facilitate this. Admission to the PhD programme For employment in the PhD position, you must be
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of the position: Follow the faculty’s PhD program Plan design and carry out experiments and their analysis Prepare research articles for peer-reviewed journals (min. 3) Be willing to present results at conferences
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that you are particularly suitable for a PhD education. You must meet the requirements for admission to the faculty of engineering's Doctoral Programme . You must have good oral and written presentation
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to implement the project Mentor programme as a new employee at NTNU Favorable terms as a member of the Norwegian Public Service Pension Fund (SPK) Free Norwegian language training at a basic level (A2) As a PhD
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Postdoctoral Research Fellow at the same institution. Goal: Contribute broadly to research on applications of AI in medicine, and in particular to the development and validation of novel computational language
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towards this goal. The PhD research fellow will be part of the PhD programme in Computer Science: Software Engineering, Sensor Networks and Engineering Computing (https://www.hvl.no/en/research/phd