10 web-programmer-developer-"https:"-"https:"-"https:"-"https:" PhD positions at University of Plymouth in United Kingdom
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Development of Pancreatic Tumour Treating Field System DoS: Dr Torsten Bossing (torsten.bossing@plymouth.ac.uk, tel.:01752 437 414) 2nd Supervisor: Dr Shakil Awan (shakil.awan@plymouth.ac.uk, tel
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supporting the use of home-based tests to track vision changes in chronic neurological conditions such as Multiple Sclerosis. It will also contribute to the development of new vision-related metrics
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design cutting‑edge, privacy‑preserving solutions that enhance independence and dignity for people living with mild dementia? This project develops a new, privacy first approach to reduce wandering risks
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. The studentship will start on 1st October 2026. Project Description Project Aim To develop and validate an AI co-pilot software system integrating multi-modal radiomics data to enhance cancer detection speed and
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vegetation-enhanced performance will have significant application. Working in the University’s world class COAST Laboratory, you will develop and validate physical modelling techniques to represent vegetation
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Description This exciting PhD project offers the opportunity to work at the forefront of biomedical engineering, developing the next-generation technologies to revolutionise long-term heart monitoring. You will
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funded UDLA PhD studentship. The studentship will start on 1st October 2026. Project Description This project develops advanced simultaneous wireless information and power transfer technologies (SWIPT
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Ryzen CPU, GPU, and NPU, in terms of inference speed, energy consumption, accuracy, and performance per watt. Different quantization levels (e.g., int8, fp16) will also be explored. Develop intelligent
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EPSRC funded UDLA PhD studentship. The studentship will start on 1st October 2026. Project Description The project aim is to develop novel FETs and biosensors based on Graphene and 2D Materials
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will develop new mathematical tools to analyse brain imaging data using persistent homology, a method from topological data analysis (TDA) that captures the shape and connectivity of complex data across