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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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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
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theory and methods. Doctoral dissertation must be submitted for evaluation by the closing date. Only applicants with an approved doctoral thesis and public defence are eligible for appointment. Applicants
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of catalytic systems under study, various aspects of the subject (e.g. synthesis, characterization, or reaction studies) and/or methodology (e.g. experiments vs. theory). This position will be closely integrated
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to: Investigate how logical and philosophical theories can support the structuring and modelling of knowledge in practical contexts. Participate in the development of IMF by bringing in methods from formal ontology
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proposal should be 4-5 pages in length and contain an account of the key issues to be studied, research question(s), the theories and methods that will be used, research ethics and a timeline. The list of
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sub-fields of political science, including public policy and administration, comparative politics, political theory, international relations and research methods. The appointment is for a fixed, non
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advanced bioinformatic analyses 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
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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