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reuse of energy systems analysis processes. In line with FAIR and Linked Open Data principles, you will design interfaces that enable the smooth processing of big data in the context of scientific, AI
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machine learning for safe and optimal control of cyber-physical systems. The projects are expected to be funded by the VILLUM INVESTIGATOR project S4OS (“Scalable analysis and synthesis of safe, secure and
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contribute to ongoing cancer risk modelling projects within the Centre for Cancer Genetic Epidemiology (CCGE), based in the Department of Public Health and Primary Care. They should have a strong understanding
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. The focus will be on the development and analysis of a novel class of within-host models of respiratory viruses dynamics. The models will address the challenges of model parametrisation given the available
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on investigating the change in the catalysts surface under relevant process conditions using spectroscopic analysis methods. Your task will include: Application of established and novel methods for the preparation
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the integrated framework for high-risk commodities like edible oils, spices, and herbal supplements. The project is jointly funded by UEA and CAMS-UK (Community for Analytical Measurement Science). It will also
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-driven variability, as only the former is thought to be related to the potential risk of AMOC collapse. The main aim of this project will be to test a new approach to do this based on recent theoretical
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Do you want to contribute to top quality medical research? Data-driven precision medicine and diagnostics covers data integration, analysis, visualization, and data interpretation for patient
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The research group Lifecourse Nutrition and Health invites applicants for a PhD fellowship in children’s nutrition and risk of overweight. The PhD project is connected to work package 2 in
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studies to aid in the experiment design, impact analysis and icing code droplet impact solver refinement. The main impact of the work will be to provide droplet impact data and analysis at high speeds which