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Field
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) and the Laboratory of Renewable Resource Engineering (LORRE) at Purdue University are seeking a postdoctoral researcher to work on funded research projects focused on biofuel & biochemical synthesis
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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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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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Department of Mechanical Engineering and the AI research group at the Vrije Universiteit Brussel (VUB) are looking for a PhD candidate to contribute to research on the optimization of a hybrid, laser-based
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of these universities through an extended research stay abroad to further strengthen the candidate’s profile. For this function, our Brussels Humanities, Sciences & Engineering Campus (Elsene) will serve as your home
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garments into recycle, reuse, and manual-review streams; this PhD project tackles the core challenge of designing and optimizing a high-throughput hyperspectral imaging system, fused with complementary
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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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The SnT Automation & Robotics Research Group is hiring a motivated PhD candidate for the bi-national project DOMINANTS (Dexterity-Oriented Methodology in Optimized Design and Control of Soft Aerial
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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