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Supervisory Team: Dr Susmita Naskar, Dr Tanmoy Mukhopadhyay Project description: This PhD studentship will involve a combination of computational and experimental work, providing the students with
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Scholarships. For more information please visit PhD Scholarships | Doctoral College | University of Southampton . Funding will be awarded on a rolling basis, so apply early for the best opportunity to be
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PhD Supervisor: Antonia Marcu Supervisory Team: Antonia Marcu, Jonathon Hare Project description: Deep Learning (DL) is a widely successful tool. However, there are many fundamental challenges left
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and/or second degree with a related Masters. Funding information: This PhD studentship is fully funded for four years by philanthropic donation at Research Council rates. Amount of stipend £25,000.00
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Programme of Study (soton.ac.uk) . Select programme type (Research), 2023/24, Faculty of Physical Sciences and Engineering, next page select “PhD Engineering & Environment (Full time)”. In Section 2
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for applications such as robotics, tele-communication, smart home, healthcare and assisted living. In this project, several PhD students are working on a pipeline for modelling and rendering of the full environment
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Supervisory Team:Neil Sandham PhD Supervisor: Neil Sandham Project description: You will join a group of PhD students and post-doctoral researchers using high performance computing to advance
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PhD Studentship - Extending the Chemical Space of mAb Based Cancer Treatment with DNA Nanostructures
Supervisors: Professor Sean Lim and Dr. Eugen Stulz (co-lead) Duration of the award: Four years Project description: The Schools of Medicine and Chemistry are offering a fully funded four-year PhD
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Supervisory Team: Joseph Lifton, Thomas Blumensath, Mark Mavrogordato Project description: Working closely with Rolls Royce, this PhD will establish advanced, but practical 3D X-ray imaging methods
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and optimisation of CBC laser Lab test on different targets. The PhD project is part of a new MoD/EPSRC Energy Transfer Technologies Skills and Training (S&T) Hub. The main aim of the Hub is to train