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. Ahmed Sayed. The main project (KUber) is, EPSRC-funded, aiming at building novel distributed architectures to facilitate the exchange and delivery of acquired knowledge among machine learning entities
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approach. About You The ideal candidate will have a PhD (or close to completion) in areas related to AI and/or animal cognition, behavioural neuroscience. You should have general experience with research in
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comfortable liaising with stakeholders across the equestrian industry. We are looking for a pro-active team player with knowledge of the UK equine industry, including racing. In return, we offer a supportive
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robotics, mechanical engineering or a similar engineering field. The job requires an in-depth knowledge about soft inflatable/eversion robotics, sensor data acquisition and processing, computer and system
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future in live music. If successful, you will work with Project Lead, Professor Jen Parker-Starbuck to develop a foundation of knowledge relating to performer, venue and audience perspectives on the use
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team is essential. About You The successful candidate will be expected to have a PhD degree in biological or computational sciences or equivalent, with solid knowledge of computational coding applied
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microscopy are essential. Knowledge/experience in the microtubule field is essential. The post holder most be organized, have good communication and interpersonal skills. They will need to manage their time
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, with solid knowledge of computational coding applied to genomics. Significant research laboratory experience in genomic and transcriptomic computational data analysis is essential, as well as experience
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of London. About You The successful candidate will hold a PhD (or close to completion*), in a relevant subject area (i.e., Health Services Research) and have qualitative analysis expertise and knowledge
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comfortable liaising with stakeholders across the equestrian industry. We are looking for a pro-active team player with knowledge of the UK equine industry, including racing. In return, we offer a supportive