60 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Edinburgh Napier University" PhD positions at Newcastle University in United Kingdom
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-culture studies to evaluate mechanotransductive signalling. The resulting data will inform mathematical models linking material mechanics to biological responses, enabling the sustainable design of next
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LCA. Strong data analysis, problem-solving, and teamwork skills. Commitment to sustainability and research integrity. Number Of Awards 1 Start Date 1st October 2026 Award Duration 4 years Application
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computer simulations by developing fundamentally innovative and advanced protection strategies. To enhance the reliability and safety of low-voltage networks with a high penetration of power-electronic
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field of multiphase flow modelling. Contact Dr Nadimi (sadegh.nadimi-shahraki@ncl.ac.uk) for more information. Number Of Awards 1 Start Date 1st October 2026 Award Duration 4 Years Application Closing
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Systems: Here, you would combine advanced microcontrollers, power and data transmission systems to create a subcutaneous control unit for bionic vision. Bionic Vision Biophysics: Here, you will explore
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behaviour and system efficiency. Uncertainty is inherent in the design of subsurface energy technologies, particularly during early-stage development when data may be sparse, incomplete, or inaccessible
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programme of study You will then need to provide the following information in the ‘Further Details’ section: A ‘Personal Statement’ (this is a mandatory field) - upload a document or write a statement
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using advanced materials. You will be supported by a multidisciplinary supervisory team with extensive expertise in novel materials design, data science, and the clinical management of TLS. You will
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Search’ to identify your programme of study: 8030F select ‘PhD Chemical Engineering (full time) – 8030F' as the programme of study You will then need to provide the following information in the ‘Further
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) and Edge Computing are undergoing a major transformation. Systems that once relied heavily on cloud-based processing and passive data collection are evolving into distributed networks of intelligent