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- Integreat -Norwegian Centre for Knowledge-driven Machine Learning
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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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covering a wide spectrum of subjects within mathematics, mechanics and statistics. The research is on theory, methods and applications. The areas represented include: fluid mechanics, biomechanics
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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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description, the description of the research topic’s relevance to educational issues, the specific problems to be studied, the choice of scientific theory and method, and the proposed implementation plan
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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
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: The topic of the Master’s degree must be of relevance to the job description Preference will be given to candidates with a multi-disciplinary background consisting of both control theory (or related fields
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, theory, method, ethical aspects, a timeline for completion, and the selected empirical material. Bibliography for the proposed project. A progress plan for the project. A brief account of the applicant's
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references. The project proposal should clearly describe the research project, including the research background, main research questions, theory, method, ethical aspects, a timeline for completion, and the
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will be and what theories and methods you will apply. It must be clear from the application in what way the postdoctoral project will add to your competence and scientific development. The motivation