135 phd-studenship-in-computer-vision-and-machine-learning positions at UNIVERSITY OF SOUTHAMPTON
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generation diagnostics, clean energy and sustainability, marine, photonics and electronics and computer science. You will: work closely with Innovate UK senior leadership to align planned activity with
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multiple long-term conditions navigate their social care needs. The position is full-time fixed-term until 01/04/2026. About you You will hold a PhD or equivalent professional qualification and experience
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different sources Share data, software and models including experimental and simulation data Deploy close-to-data computation and containerisation of data and software Use AI to explore data Make the results
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to gender—and demonstrated expertise in advanced statistical methods (e.g., multilevel modelling). The successful candidate will work closely with the Principal Investigator, Dr. Verena Klein, a PhD student
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governance applications. The successful candidates will have a PhD (or nearing completion) or equivalent professional qualifications and experience in Cancer Care/Nursing /Health Services Research/related
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working with Prof. George Chen. Join a multi-disciplinary team at the TDHVL that includes academic staff, postdoctoral researchers, engineers, PhD and undergraduate students. For further details on our
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assignments and examination papers, and through supporting an engaged learning community. In particular, you will be able to contribute to the delivery of our undergraduate and postgraduate programmes. About
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should have required qualifications and experience Education: PhD in Biomedical Engineering, Electronic Engineering, Mechanical Engineering, Materials Science, or related disciplines with a strong academic
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balance. We also offer a mentorship programme and the school runs a women-oriented network event on a bi-weekly basis. The University of Southampton is in the top 1% of world universities and the top 10
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extraction and data analysis. We invite applications from candidates who have a PhD or equivalent qualifications and experience in a quantitative field, such as Statistics, Medical Statistics, Health Services