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- Integreat -Norwegian Centre for Knowledge-driven Machine Learning
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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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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 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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experiments, and 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
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excellent candidates in all sub-fields of political science, including public policy and administration, comparative politics, political theory, international relations and research methods. The appointment
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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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, funded by the Research Council of Norway. Researchers at Integreat develop theories, methods, models, and algorithms that integrate general and domain-specific knowledge with data. By combining
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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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). The proposal must include the topic, relevant theory and methods and timeline. The proposal should include an explicit account of how the project contributes to the development of human geography