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scans for thorax and abdominal clinical studies. Year 2. Development of deep-learning methods to automate and accelerate image processing of multi-organ perfusion MRI. Current analysis methods rely
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candidate will have an excellent PhD in mechanical engineering, experimental biomechanics, or a related discipline, possess a solid knowledge of solid mechanics, and have a strong experience in high
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: • Problem solving skills and the ability to work in a highly collaborative team. • Experience in microscopy or a deep interest in microscopy. • Computational skills for image processing and software
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energy and chemical usage over the conventional processes, without harming the purity of the bioplastic produced. The approach is adopting a paradigm-shift in “Symbiotic Engineering” of mixed microorganism
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Photonics for the scale up of quantum sensors (S3.5-ELE-Smith) School of Electrical and Electronic Engineering PhD Research Project Competition Funded Students Worldwide Dr Joe Smith, Dr Kristian
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Multi-modal Understanding of Human Heart (S3.5-COM-CChen2) School of Computer Science PhD Research Project Competition Funded Students Worldwide Dr Chen Chen, Prof Andy Swift Application Deadline
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MRC DiMeN Doctoral Training Partnership: Understanding and Targeting Disease Causing DNA interactions MRC DiMeN Doctoral Training Partnership PhD Research Project Competition Funded UK Students Dr
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Patient-Specific Cardiovascular Assessments and Treatment Planning through Computational Modelling (S3.5-COM-Xu) School of Computer Science PhD Research Project Competition Funded Students Worldwide
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Hybrid-Assisted Incremental Sheet Forming Using Supercritical CO₂ and Minimum Quantity Lubrication (MQL) (S3.5-AMR-Ayvar Soberanis) Advanced Manufacturing Research Centre PhD Research Project
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engineering or bioengineering. - Proficiency in image processing techniques, finite element analysis software (e.g., Abaqus, Ansys), and programming languages such as Python and Matlab. - Strong analytical and