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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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candidate and availability of the pilot sites. The core activity of the ATLAST2 shall support Researchers, PhD candidates and Postdocs. They work in close contact with the research and user partners
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Council of Norway. Researchers at Integreat develop theories, methods, models, and algorithms that integrate general and domain-specific knowledge with data. By combining the mathematical and computational
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theories, methods, models, and algorithms that integrate general and domain-specific knowledge with data. By combining the mathematical and computational cultures, and the methodologies of statistics, logic
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of the PhD candidate and availability of the pilot sites. The core activity of the ATLAST2 shall support Researchers, PhD candidates and Postdocs. They work in close contact with the research and user partners
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updates, and interoperability at scale. In close collaboration with project partners, the PhD candidate will focus on relevant data modeling and processing approaches for data gap filling, redundancy
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collaboration with the entire BeyondCloudLab team including 4 PhD students and 2 Postdocs. Colourbox via Unsplash Colourbox What skills are important in this role?/ Qualifications / Competence / Selection
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balance, consisting of full-time professors, researchers, and many postdocs and PhD candidates. The planned PhD research topic will explore techniques to handle protected data in digital twin architectures
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models, immunoblotting, qPCR, cardiomyocyte isolation, microscopy, proteomics, single cell RNA-sequencing, bioinformatics, and/or human stem cells will be viewed as an asset Willing to work with animal