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by an ERC Consolidator Grant. The candidate would be responsible for day-to-day management of a work package that centers on laboratory testing of a newly discovered human genetic knockout model
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placed 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
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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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be possible, depending on the interest 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
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to complete the final exam. Desired: Familiarity with statistical and machine learning techniques. Knowledge about molecular biology and/or gene regulation. Experience with nanopore sequencing, Hi-C, ribosome
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responsible for day-to-day management of a work package that centers on laboratory testing of a newly discovered human genetic knockout model population, as well as data analysis of large-scale registry data
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be placed on Representation Learning techniques, Transformer-based architectures, Large Language Models (LLMs), Natural Language Processing (NLP), etc. The research will also explore distributed data
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sematic technologies. Both groups have a dynamic and interactive working environment with good gender balance, consisting of full-time professors, researchers, and many postdocs and PhD candidates
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. The main workload will involve field investigations, subsurface data analysis (core and borehole), the integration of new data and concepts with existing seismic models. The project will involve
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borehole), the integration of new data and concepts with existing seismic models. The project will involve collaboration with industry partners and other scientific teams. The candidate will work alongside