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Field
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motivated students with a strong background in engineering or computer science. The ideal candidate will have: Strong programming and software skills. An awareness of machine learning theory and techniques
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candidate will investigate novel sensing methodologies, develop physics-informed computational models, and apply state-of-the-art machine learning techniques to extract meaningful information from complex
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to Newcastle Portal. Once registered select ‘Create a Postgraduate Application’. Select 2026 as the ‘Year of entry’ for a January 2027 start date Use ‘Course Search’ to identify your programme of study: Search
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Application’. Select 2026 as the ‘Year of entry’ for a January 2027 start date Use ‘Course Search’ to identify your programme of study: Search for the ‘Course Title’ use the programme code: 8420F Research Area
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Postgraduate Application’. Use ‘Course Search’ to identify your programme of study: You can search for the ‘Course Title’ using the programme code: 8370F (for example) Please leave the ‘Research Area' field
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‘Course Search’ to identify your programme of study: Search for the ‘Course Title’ using the programme code: 8020F Research Area: Biological Sciences Select PhD Biological Sciences (Full Time) as the
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the initial 3 years. The pan-University Graduate School offers an integrated training programme to the postgraduate community within a single centre, serving to inculcate interdisciplinary working in our next
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Swallowable sensors are limited by how long they stay in place. A capsule passes through the gut within a day or two, so it can only take a snapshot when conditions such as inflammatory bowel disease need to be tracked over weeks without the risk of obstruction. Devices that stay longer exist,...
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seeking a motivated individual to join the AI Group within the School of Computing at Newcastle University. The postholder will work on an EPSRC funded IAA project, leading the development and evaluation
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for next-generation intelligent audio IoT sensors. Your Role and Goals As a Doctoral Researcher, you will: Design energy-efficient digital in-memory computing circuits for on-chip AI inference, spanning both