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Field
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computer vision is required. Experience of efficient ML techniques, edge AI hardware platforms, low-power computing, earth observation is desirable. They will have excellent programming skills (Python, C
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generation technologies, energy storage systems, and power electronics for marine applications, including hydrogen and ammonia propulsion systems; strong understanding of energy systems dynamics, renewable
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candidates must hold (or close to completing) a PhD in a relevant subject. Knowledge and experience in computer vision is required. Experience of efficient ML techniques, edge AI hardware platforms, low-power
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Timely completion of work, reporting and analysing of results to agreed development plans Contribute to the supervision of PhD students if necessary Any other duties as required by the line manager/mentor
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optimization techniques, with experience in maritime applications preferred; familiarity with onboard power generation technologies, energy storage systems, and power electronics for marine applications
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to two years part-time The call is open to applicants who have completed their PhD at a UK research organisation. Fellowships are aimed at those in the immediately postdoctoral stage of their career
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(REWIRE) to provide leading contributions to power electronic semiconductor devices. The role-holder will provide professional expertise and contribute creative and innovative solutions in device
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for an ambitious PhD graduate or post-doctoral data scientist with the ability and confidence to lead the development and implementation of multi-omics frameworks and the ambition to identify potential translational
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Location: West Cambridge, Cambs, UK A position exists, for a Research Assistant/Associate in the Department of Engineering, to work on Power Electronics and Magnetics for Electromobility and
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manuscripts for submission to peer reviewed journals. You may also have opportunities to co-supervise Masters and PhD projects. The projects you will be working on are interdisciplinary and so the ability