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group; a multi-sectoral team of researchers, data analysts and project specialists working on producing data on population distributions and characteristics at high spatial resolution. We are looking
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. The post is part of the project that aims to develop digital twin frameworks within the Wind Energy sector with novel AI predictive maintenance algorithms for fault-tolerant, intelligent estimation
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of algorithms for natural language understanding, structured command generation, and domain-specific model adaptation or fine-tuning. Integrate NLP and speech technologies (ASR/TTS) into a unified tactical signal
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. The post is part of the project that aims to develop digital twin frameworks within the Wind Energy sector with novel AI predictive maintenance algorithms for fault-tolerant, intelligent estimation
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strengths in global health research, bringing cohesion to the distributed community of Oxford scholars working in this area, transforming the visibility of Oxford Global Health externally, and championing key
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research, bringing cohesion to the distributed community of Oxford scholars working in this area, transforming the visibility of Oxford Global Health externally, and championing key challenge areas
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resiliency, and energy management algorithm development using MATLAB/Simulink for marine microgrid applications. Knowledge on control is highly preferred. Have experience and commitment to supervising student
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industrialise algorithms designed to simulate and optimise the operation and design of aircraft systems, subject to complex, real-world constraints. You will join a growing team of engineers working on a range of
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Electronic Engineering, Control Engineering, Computer Science or a very closely related topic: Strong understanding of power electronics principles Excellent knowledge on data-driven machine learning algorithm
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benefit society by advancing technologies that will underpin the design of the next generation of transport aircraft. Specifically, you will develop, test, and industrialise algorithms designed to simulate