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their speciation under reaction conditions, as supported through computational modelling. The position will be part of the Section for Catalysis and Organic Chemistry . The Section for Catalysis and Organic
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PhD Research Fellow in Chemistry-focus on Experiments in Chemical Kinetics and Heterogeneous Catalys
conduct catalytic experiments using advanced transient methods based on mass-spectrometry and develop mathematical models to interpret these data in terms of molecular mechanisms. International
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of language models. The research profile of the group is heavily machine-learning oriented and the group has access to excellent HPC infrastructure. For more information about the Language Technology Group (LTG
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– from single molecules to model organisms and patients – to deliver scientific excellence and insights with translational potential. This unique environment makes NCMBM an internationally recognised
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with machine learning and pattern recognition tool development All candidates and projects will have to undergo a check versus national export, sanctions and security regulations. Candidates may be
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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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) and economics (or related fields). Applicants must have experience in one or more of the topics: Model-predictive control Numerical optimization Econometrics Virtual power plants Power systems and/or
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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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consisting of both control theory (or related fields) and economics (or related fields). Applicants must have experience in one or more of the topics: Model-predictive control Numerical optimization