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worldwide, focuses on improving our understanding and management of global freshwater resources. You can read more about the project here: https://www.imperial.ac.uk/news/articles/engineering/civil
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the development of high-fidelity multiphysics models of existing research infrastructure, as well as novel system architectures and emerging energy concepts under investigation. A central component of the position
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• Programming skills (e.g., Python, MATLAB, R) • Experience with AI/ML methods or power system modelling Conditional Offer The award of the PHAETHON PhD Studentship is strictly conditional upon the candidate’s
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for energy systems Digital twins and energy analytics Energy communities and electricity markets Energy system modelling and optimisation Green hydrogen technologies Key Responsibilities Conduct high-quality
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. • Design, implement, and train machine learning models for tasks such as object detection, recognition, and image segmentation. • Develop scalable training pipelines and optimize models for real-time or
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generation of 10 researchers in cybersecurity and resilience for cyber-physical systems (CPS). The 10 doctoral candidates will collaborate on modeling threat actors, developing scalable AI-based monitoring and
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Technologies Key Responsibilities Conduct research activities under senior supervision Perform modelling, data analysis, and experimental validation Participate in lab testing, pilot installations, or fieldwork
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will conduct research and develop products under multiple Eratosthenes Centre of Excellence projects funded by the European Union, including the flagship Excelsior H2020 Teaming project (https
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architectures. This includes among other: (a) design and implementation of machine learning and GenAI models, (b) efficient training and inference on GPU-based systems, (c) fine-tuning and optimization of large
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generation of 10 researchers in cybersecurity and resilience for cyber-physical systems (CPS). The 10 doctoral candidates will collaborate on modeling threat actors, developing scalable AI-based monitoring and