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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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: Bayesian Machine Learning – Led by Dr Thang Bui, this project focuses on sequential decision-making and bridging deep learning theory and practice. Applicants with expertise in probabilistic modelling
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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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The Institute for Data and AI (IDAI) promotes excellence in Data Engineering, Data Science and AI theory and practice, ensuring their co-evolution and competent adoption across disciplines to enable
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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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in Free Space-Time Job Description Demonstrate and measure the breakthrough concepts in nanophotonics using optical sources such as transmission electron microscope Develop high-impact theory
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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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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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quest of discovering principles of natural adaptive computation and fundamental understanding of cells – the building blocks of life we use a blend of computational, experimental, and theory-driven