12 machine-learning "The University of Edinburgh" Postdoctoral positions at Durham University in United Kingdom
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with partners at the Universities of Edinburgh and Oxford. In particular, a close working relationship with an Edinburgh-based PDRA and PhD student will be important. The VIPER project: Plate tectonics
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. Candidates with strong track records in computational tropical geometry, non-archimedean analysis and geometry, machine learning, and related areas are encouraged to apply. Hybrid and flex working arrangements
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of a catalogue of material composition of satellites 2. Developing material degradation models and estimating the material properties based on life and degradation. 3. Developing machine learning
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of advanced energy storage solutions and integration into the smart grid ecosystem. Implementation of machine learning techniques for predictive maintenance and fault detection in power systems. Exploration
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computing, cloud computing, machine learning, artificial intelligence, programmable networks, digital twins, and cyber physical systems. Skills Demonstrable ability to work cooperatively as part of a team
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practice. The position will provide the opportunity to develop one’s career by, for example, enhancing leadership and management skills, learning about and implementing new research methods, leading and
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provide the opportunity to develop one’s career by, for example, enhancing leadership and management skills, learning about and implementing new research methods, leading and contributing to research
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stochastic modelling and computer programming. Skills Demonstrable ability to work cooperatively as part of a team, including participating in research meetings. Ability to work independently on own initiative
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with grant funding and funded projects, managing data and computer infrastructure, or organizing public activities. Two research outputs demonstrating methodological skills and research interests. Next
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intelligence, computer vision to power networks and smart grid. The Role Applications are invited for a Postdoctoral Research Associate in Power Systems, to work on a project funded by National Grid