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Field
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to image the centre of live, intact, plant roots. The ability to observe dynamic cellular processes at the centre of a live root for the first time will unlock entirely new lines of biological inquiry
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design, signal processing, and experimental validation of distributed SAR for airborne platforms. The core aim is to design, analyse, and experimentally evaluate distributed SAR architectures for airborne
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to think analytically and creatively. Good computer skills, plus good presentation and writing skills in English, are required. Previous research experience in contributing to a collaborative
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. Application process Applicants must submit: A completed application form . A 2000-word research proposal. Please read this guidance . Two academic references - to be sent directly from the referee
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skills training provided by a mixture of industry and academic project partners covering structural biology; biophysical and analytical methods; computational modelling; directed evolution; process
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-time robotic control and AI pipelines. You will design and tune control algorithms to ensure precise, stable, and safe remote robotic operation under communication constraints. You will develop and
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Environment This studentship is based at the Centre for Vision, Speech and Signal Processing (CVSSP). CVSSP is: The largest UK research centre in its field Ranked 1st in the UK for Computer Vision research
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to small batches. This PhD will pioneer the transition from laboratory-scale demonstrations to scalable, manufacturable acoustic structuring of polymers, representing a step change in composite processing
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. Application process Prospective applicants are welcome to contact Dr Rebecca Lacey (rlacey@sgul.ac.uk ) to discuss the project. Please send the completed application form to stgeorgesphd@sgul.ac.uk by no later
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. The IoPPN aims to change and shape how we understand, prevent and treat mental health and other conditions that affect the brain. We work to transform care for people who are affected by mental health and