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of analysis of partial differential equations (PDEs). The PhD candidate will be supervised by Havva Yoldaş and co-supervised by Raphael Winter (Cardiff University). The research topics primarily revolves around
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Infrastructure? No Offer Description Area of research: PHD Thesis Job description:PhD Position – Analysis of Integrated Power, Gas and Hydrogen Systems At the Institute of Climate and Energy Research – Energy
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Nuclear energy-density functionals are among the most powerful theoretical tools for describing atomic nuclei and for connecting laboratory nuclear physics with the properties of dense matter in neutron stars. However, reliable predictions in regions where experimental data are scarce remain...
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. You are interested in reactor safety and transient analysis. You enjoy collaborating with experimental and modelling researchers. You communicate effectively in spoken and written English. You work
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set a course for the future – a future that you can help to shape. The Department of Mathematics in the Faculty of Science is looking for a full-time doctoral scholarship holder in the field Analysis
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 3 months ago
-supervised by Quentin Peyron (export in continuum and soft robotics modeling, design and singularity analysis), and Sebastien Briot (expert in parallel rigid and continuum robotics modeling and singularity
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We hereby invite applications for one or more PhD position focusing on the development and application of hyperspectral imaging technologies for bulk forensic evidence analysis. The project aims
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, causal analysis, and improved infrastructure resilience in the face of extreme events, particularly urban flooding? To address this challenge, the thesis will pursue several scientific objectives
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solution for the future of maritime decarbonisation. Your work tasks The research assistant will be involved in high-fidelity numerical modelling and a comprehensive analysis campaign of flexible power
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applications in different project contexts. This may include data analysis, modelling, literature reviews, and interaction with relevant stakeholders. The results are expected to contribute increased knowledge