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to make decisions, solve problems, and learn. Moving from rule-based systems to agents with strategic flexibility. The range and complexity of tactics, techniques, and procedures that are supported, as
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; EPSRC Centre for Doctoral Training in Green Industrial Futures | Bath, England | United Kingdom | 3 months ago
support UK industry to reach net zero. Alongside their research, our PhD researchers gain valuable training in how to apply their research within the wider industrial system, including opportunities
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explore the nonlinear structural dynamics of LGSs to fully understand the complexity of their control. They will use this foundation to explore idealised and realistic control laws to virtually “stiffen
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international network structure in order to integrate existing competences and knowledge, and to link various actors within the complex area of climate change. The PhD position is also supervised by Prof. Dr
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networks. C2 research that better reflects the rich dynamics and complexities that occur in real-world contexts has the potential to result in major benefits for many sociotechnical systems. Therefore
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collaboration with the Air Force Research Lab (AFRL) Regional Network Midwest, is seeking a highly motivated postdoctoral researcher to join our team. This position offers a unique opportunity to work within
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to analyse complex datasets, extract meaningful insights, and guide the optimisation of drug molecules. Collaborate with internal groups, including the Centre for Additive Manufacturing (CfAM) to design and
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and impact related to two EPSRC funded projects: ResTOrES (Resilience Toolkit for Offshore Energy Systems) and RENEW (Climate Resilient Heat Electrification for Net-Zero Emission Whole Energy). The
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northern Sweden create enormous opportunities and complex challenges. For Umeå University, conducting research about – and in the middle of – a society in transition is key. We also take pride in delivering
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you are highly motivated to do environmental fieldwork and remote sensing studies. You like to analyze complex spatial and temporal data sets and you are able and willing to critically reflect