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interdisciplinary collaboration within e.g. nutrition, chemistry, toxicology, microbiology, epidemiology, modelling, and technology. This is achieved through a strong academic environment of international top class
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Artificial Intelligence to improve on the current state-of-the-art in articifial models of social cognition and emotion recognition. In Neurosymbolic AI, logic and symbolic AI methods are used to improve
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-molecule techniques. Coding skills for data analysis, pattern recognition, machine learning, kinetic modeling, etc. Advanced optics, biochemical wetlab, and/or bioengineering experience. Required: MSc degree
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numerical simulations using a GRMHD-PIC technique, which allows to track VHE ions on the fly. These simulations will be supplemented by cutting-edge analytical methods for injecting particles onto the grid
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measures on businesses? Are you keen to delve into the sustainability of agricultural value chains? Or would you prefer to develop our macroeconomic models? All of this is possible. The focus is on projects
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://www.rug.nl/education/phd-programmes/prospective/phd-positions/english-language-requirements?lang=en ). Affinity with and knowledge of basics of AI-modelling and data analysis is welcome but not required. We
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? Or would you prefer to develop our macroeconomic models? All of this is possible. The focus is on projects for industry, as well as the Dutch and European governments. You may also participate in larger
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analysis (SEC, spectroscopy, X-Ray, NMR, MS) is required. • Practical experience in modelling and design of proteins (Rosetta, Alpha-Fold, docking, molecular dynamics, etc.) will be positively
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, model-based imputation, genetic epidemiology, or the application of machine learning to registry data is highly valued. Clinical experience with patients suffering from headache disorders is considered
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and Saeys teams. In this research project you will develop and apply algorithms to link clinical phenotypes of metastasis to molecular phenotypes in mouse models. It is known that metastases exhibit