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Field
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this, the Fellow will implement a universal design methodology for such fluids of complex rheology, using a Machine Learning (ML) algorithm to be incorporated in a Computational Fluid Dynamics framework. Training
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diverse and inclusive environment so that all in our OU community can reach their potential. We recognise that different people bring different perspectives, ideas, knowledge, and culture, and that
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computational frameworks that combine 4D point cloud data, geospatial analysis, and advanced ML/DL algorithms. Integrate dynamic environmental datasets into immersive and interactive prototypes for scenario
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who has been working in an academic or commercial research laboratory/company related to the differentiation of human iPSC into different cell lineages, and the assembly of complex tissue culture models
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About Us We are seeking experts in medical image deep learning to join our team and help develop novel computationally efficient segmentation algorithms. We welcome application from individual with
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continue to be underrepresented and who face barriers to inclusion in higher education. We believe that a diverse and supportive environment, bringing different perspectives to our work and allowing people
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Duration: 8 months or until 31 May 2026, whichever is sooner About the Role This is a research position for an EPSRC funded project entitled “Distributed Acoustic Sensor System for Modelling Active
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well as realising your career ambitions, you’ll be making a positive difference to other people’s lives. We also offer a fantastic package of rewards and lifestyle benefits – from an attractive annual leave
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also develop predictive models capable of characterising disease progression and forecasting individual outcomes in multiple sclerosis under different treatment exposures. You will contribute to delivery
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to determine statistical occurrence of different crystallographic defects. Processing of the multimodal data will allow the appointee to correlate statistics on defects identified at the atomic level with