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developments such as novel algorithms to support logistics operations, novel automation approaches or the design and development of new digital support tools for logistics providers. Significant flexibility
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sustainability. The research will delve into power-aware computing strategies, thermal management, and the development of algorithms that balance performance with energy consumption. Students will aim to create
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-critical systems. The research will focus on developing AI-powered verification tools, health monitoring algorithms, and compliance assurance techniques that ensure system reliability throughout
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and fisheries sciences and management, marine biology and biological oceanography, ocean/marine sciences, oceanography, ecology, evolutionary biology, environmental science, biology, or a related field
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of advanced computational techniques. This research will integrate power system modelling, optimisation algorithms, and artificial intelligence (AI) techniques to develop an innovative framework for strategic
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scalable deployment Collaborate with researchers, developers, and traders to improve existing models and explore new algorithmic approaches Design and run experiments using the latest ML tools and frameworks
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University is looking for a motivated and independent postdoctoral researcher with an interest in evolutionary biology and systems biology. The position is for a minimum of 2 years (extendable to 3 years
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control laws into Trent gas turbine engines and developed algorithms monitoring fleets of 100s of engines flying all around the world. During the PhD, you will have the opportunity to deeply engage with
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input needs, accompanied by a boost in algorithmic development, e.g., multi-modal learning, transfer learning, federate learning, and knowledge embedding, etc. However, a significant motivation of
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interact in a polite and professional manner. Support: You will work with a PDRA alongside PhD students and overseen by an experienced academic. The group work in the broader Ecology and Evolutionary Biology