26 web-programmer-developer-"U" Fellowship positions at UiT The Arctic University of Norway in Norway
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-language generative modalities, with a strong emphasis on visual media, to achieve high cultural fidelity, developed with and for Sámi communities. The research advances methods, models, and evaluation
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four years. The nominal length of the PhD programme is three years. The fourth year is distributed as 25 % each year and will consist of teaching and other duties. The objective of the position is that
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research-based innovation. The project is within the earth observation innovation area and will be done in collaboration with leading companies in the field. The focus of the project is therefore development
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-time Hours Per Week 37,5 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number EU MCSA-DN prosjekt Switchfloc Is the Job related to staff position
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37,5 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number EU MCSA-DN prosjekt Switchfloc Is the Job related to staff position within a Research
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of Contract Temporary Job Status Full-time Hours Per Week 37,5 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number EU MCSA-DN prosjekt Switchfloc Is the
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the EU Research Framework Programme? Not funded by a EU programme Reference Number EU MCSA-DN prosjekt Switchfloc Is the Job related to staff position within a Research Infrastructure? No Offer Description
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the broader development of innovative pedagogical approaches to advancing sustainability transformations. The position is a fixed-term position for 3 years. It is a prerequisite that the applicant can carry out
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(Europe/Oslo) Type of Contract Temporary Job Status Full-time Hours Per Week 37,5 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number EU MCSA-DN
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. Fulfillment of the requirements for admission to the PhD program (next section) Desired skills include: Research experience via Master's thesis or internships involving the development of deep learning and