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PhD Studentship: Optimisation of Liquid Metal Filtration and Cleanliness in Nickel Based Superalloys
-Royce plc. It enables production scale research and experimentation to deliver rapid high-quality product and process innovation and is a unique casting, design, simulation and advanced manufacturing
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. Candidates must have a strong motivation for research and excellent programming skills. Expertise of developing computer vision and machine learning algorithms would be desirable, with an interest in image
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at the intersection of machine learning, bioinformatics, and computational pathology. Project Overview: Integrating histopathological imaging with omics (e.g., transcriptomics, genomics, proteomics) holds tremendous
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perfusion as people age with various comorbidities (hypertension, hypotension, obesity) will preserve oxygen supply to the brain. MRI and two photon imaging are used in animal models to understand
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. Understanding the process of droplet impact and freezing dynamics at high airspeeds, on textured and non-textured surfaces is critical to deciphering the physics behind ice adhesion and accretion. Previous work
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. A particular focus will be on the soil micro-structure evolution and how this links to macro-scale behaviour, using advanced laboratory tests, imaging techniques, and computer simulations. The
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research methods. Knowledge and interest in mental health and body image / appearance psychology. In light of the project’s service user and equity-focused orientation, we particularly welcome applications
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analysis methods. You will gain expertise in integrating experimental total scattering and high-resolution imaging data with artificial intelligence and atomistic simulation tools to overcome current
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, the process of taking MOFs from discovery to scale-up and commercial exploitation take many years since current methods of MOF production are poorly reproducible, unsustainable, and conditions optimised in
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the Cambridge Brain Tumour Imaging laboratory is a unique laboratory involved in using imaging and other techniques o guide and improve surgery. This project is funded through the NIHR HealthTech Research Centre