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), the technology is being applied to health-related problems. The University of Southampton with funding from the NIHR Southampton Biomedical Research Centre have a range of PhD opportunities involving
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Project title: Using machine learning to evaluate atomic force microscopy nanoindentation data Supervisory Team: Dr Martin Stolz, Dr Sasan Mahmoodi Project description: The University of Southampton
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for imaging and therapy in medicine Applications are invited from suitably qualified and motivated candidates for an EPSRC CASE PhD studentship based in Chemistry at the University of Southampton, in
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Supervisory Team: Prof Ilya Kuprov, Dr Marina Carravetta Project description: The University of Southampton is expanding its PhD research in the area of Quantum Technology Engineering. In
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, including academics from the University of Southampton and experts from University of Oxford, Imperial College London, Fudan University, etc. Techniques to be used. Image analysis Aim: create 3D anatomical
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. The project will involve a detailed study into the physics of nonlinear frequency-converted fibre lasers operated at very high-power levels to formulate a strategy for power scaling and to determine the
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opportunities for both UK and international students, including Bursaries and Scholarships. For more information please visit PhD Scholarships | Doctoral College | University of Southampton Funding will be
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, including Bursaries and Scholarships. For more information please visit PhD Scholarships | Doctoral College | University of Southampton Funding will be awarded on a rolling basis, so apply early
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and 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
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traces and diagnosis from medical signals such as EEG/ECG all involve data observed over time. Time series machine learning (TSML) [1,2,3,4,5] offers the potential to contributing to a huge range of