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sources compared with gas turbines, etc. The aim of this PhD research is to develop novel performance simulation capabilities to support the analysis and optimization for sCO2 power generation systems
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The Faculty of Engineering, Department Industriële ingenieurswetenschappen, is looking for a PhD-student with a doctoral grant. More concretely your work package, for the preparation of a doctorate
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Multiple PhD Scholarships available - Cutting-edge research at the frontiers of Whole Cell Modelling
at Monash University has multiple PhD Scholarships available to work on some exciting projects. Conduct cutting-edge research at the frontiers of Whole Cell Modelling! Projects include: Integrative Modelling
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intelligent systems aim to optimize power usage without compromising performance, employing strategies like power-aware computing and thermal-aware optimization. These systems are crucial in extending
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will have the opportunity to work closely with researchers on engineering design and management in the Exeter Digital Enterprise Systems (ExDES) lab and Queen’s University Belfast to Explore novel
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paid. We expect the stipend to increase each year. Only Home students are eligible for funding. The start date is October 2026. The project aims to develop and optimize metal oxide aerogel materials
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of the optimal cooling technology. Integrate these digital twins into other platforms, such as mobile applications. Extend the digital twin work for heat stress predictions of humans to assess
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Containers (e.g. docker). * Proven ability to work independently and collaboratively. * Experience with communicating results and concepts with a diverse audience including molecular biologists and laboratory
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rapidly changing characteristics. Simultaneously, the European energy system is also getting more coupled with other energy sectors like heat, gas, transport and industry. Power systems operating in such a
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Decision Intelligence for Supply Chain and Operations Optimization. The successful candidate will contribute to cutting-edge research at the intersection of Statistical Machine Learning and Generative