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for Knowledge-driven Machine Learning is a Centre of Excellence, funded by the Research Council of Norway. Researchers at Integreat develop theories, methods, models, and algorithms that integrate general and
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. Researchers at Integreat develop theories, methods, models, and algorithms that integrate general and domain-specific knowledge with data. By combining the mathematical and computational cultures, and the
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experience. Strong coding skills in commonly used scientific languages (e.g. Python, Matlab, shell script, C) Demonstrated experience in performing simulations at the atomic-scale, including density functional
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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 for the stud. It is important that
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, Health Promotion, Public Health or closely related areas with an interest working with urban communities by start date • Excellent communication and writing skills • Analytic programming/coding skills
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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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Application letter. Please state your motivation and research interests. A tentative project proposal (5-10 pages). The proposal must include the topic, relevant theory and methods and timeline. The proposal
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one of Norway's best pension schemes with beneficial mortgages and good insurance schemes. Salary in position as Doctoral Research Fellow, position code 1017 in salary range NOK 550 800 - 595 000
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technological progress in our increasingly digital, data-driven world. Researchers in Integreat develop theories, methods, models, and algorithms that integrate general and domain-specific knowledge with data. By
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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