11 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" PhD positions at The University of Manchester
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framework for underlying structures in high dimension such as underlying covariance structure, conditional dependency graphs etc. With the change in data-generating mechanism, these high-dimensional
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minewater systems, with additional model development and customisation undertaken in MATLAB or Python to extend capabilities and explore sensitivity analyses. Experimental data from controlled experiments
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scanning and measurement, garment fit evaluation, cloth simulation, digital twins, wearable sensing, smart textiles, and AI methods for clothing and body data analysis, to name a few. Applicants from
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scanning and measurement, garment fit evaluation, cloth simulation, digital twins, wearable sensing, smart textiles, and AI methods for clothing and body data analysis, to name a few. Applicants from
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framework for MR image super resolution using high fidelity CFD data. Validate the software using MRI scans of arterial flow phantoms. Collaborate directly with clinicians to maximise the translational and
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that you apply early as the advert may be removed before the deadline. This project is a collaborative initiative between SLB and the University of Manchester, aimed at developing a data-driven digital twin
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simulation results with experimental data. This project will integrate advanced AI techniques, including machine learning for parameter optimisation (e.g., Bayesian optimisation, reinforcement learning), AI
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. Applicants should also demonstrate evidence of programming experience. Applications should be submitted through the RAINZ CDT website , where further information about the CDT is also available. Informal
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through the RAINZ CDT website , where further information about the CDT is also available. Informal enquiries can be made by emailing [email protected] .
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in Electrical Systems at the High Voltage Group at University of Manchester, you will be responsible for undertaking the relevant laboratory based and computer based research under the guidance of Prof