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- Integreat -Norwegian Centre for Knowledge-driven Machine Learning
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and their analysis is an advantage. Experience with the Scala programming language is an advantage. Interest in programming language theory, language design, and programming language standardization is
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reality TV, video games, fashion, and advertising contribute to constructing and circulating specific notions of Sámi spirituality. The relationship between newer Sámi religious formations and social media
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technological progress in our increasingly digital, data- and algorithm-driven world. Integreat develops theories, methods, models, and algorithms that integrate general and domain-specific knowledge with data
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question(s) discussion of relevant theory and empirical materials/data description of planned methods progress plan references/bibliography The quality of the project description and the feasibility
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internationally. The group also seeks to contribute to knowledge production in interdisciplinary democratic theory, innovative methodological and democratic experiments, and to maintain a close collaboration with
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, for instance, those based on processes of storytelling, creative writing, cognitive science, narrative theory, and/or theories of creativity. The successful candidate will conduct collaborative as
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writing, cognitive science, narrative theory, and/or theories of creativity. The successful candidate will conduct collaborative as well as their individual research within the Center for Digital
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, collaborating across disciplines to tackle fundamental challenges through innovative methods, theory and critical analysis. The fellowship period is 3 years. Starting date as soon as possible and upon individual
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specified) Project description (3-5 pages) including: A presentation of the research topic (including discussion of relevant theory and previous research), An outline of the research design, A plan for the
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. Integreat develops theories, methods, models, and algorithms that integrate general and domain-specific knowledge with data, laying the foundations of next generation machine learning. We do this by combining