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implementation science. We are now seeking an exceptional Research Fellow (Level B or C) to lead innovative methodological research in statistical theory for adaptive variants of longitudinal cluster randomised
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. Qualification requirements: Applicants must hold a degree equivalent to a Norwegian doctoral degree in Statistics or a closely related field with a documented competence in statistical theory and methods
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collaboration with UiT’s Equality Committee and other departments. The research is organized into projects with different empirical research focuses, with feminist theory and method as a common denominator. This
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) research group, which works in formal methods, programming language theory and digital twins, and the Data and Knowledge Management (DKM) research group, which works in sematic technologies. Both groups have
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theories is an advantage. Candidates without direct experience in geophysics may also be considered, provided they can demonstrate strong skills in mathematical modeling and a clear motivation to work
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of genomic data. The candidate will join a collaborative and interdisciplinary team with expertise in Arctic biology, genomics, and evolutionary theory, and will have the opportunity to conduct a research stay
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of borehole geophysics, is a strong advantage. Experience with effective medium theories is an advantage. Candidates without direct experience in geophysics may also be considered, provided they can demonstrate
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modelling, and artificial intelligence. The postdoc will contribute to both the theoretical and applied dimensions of the IMF initiative and is expected to: Investigate how logical and philosophical theories
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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 methodologies
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at Integreat - Norwegian Centre 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