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Electronics, will use computational simulations to study how thin films form during flowable chemical vapor deposition (FCVD), a process used to build advanced semiconductor devices. Unlike traditional CVD
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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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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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training programme at the start of the PhD to develop skills in areas such as programming, data analysis, machine learning and signal processing. This will provide the technical foundation required to work
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. Such a shift in product design, with a greatly enhanced focus on data processing, raises many conceptual questions about the relationships between people and flowers. Deconstructing and translating
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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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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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collaboration between the Process Intensification Group (PIG) and Materials, Concepts, and Reactors group (MatCoRe), so the successful candidate will be well supported. Additive manufacturing/3D printing and Net
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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