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We have 23 pattern recognition PhD Projects, Programmes & Scholarships

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pattern recognition PhD Projects, Programmes & Scholarships

We have 23 pattern recognition PhD Projects, Programmes & Scholarships

Transcriptome homeostasis in cellular ageing and cancer

Project Summary. We have previously established the oncogenic mechanisms of the transcription factor FOXM1 in perturbation of genome stability (1, 2), epigenome (3, 4) and adult progenitor epithelial stem cell proliferation (5). Read more

Transcriptome biomarkers and mechanisms of chemoresistance

Project Summary. This project aims to identify biomarkers linked to the most potent multimodal anticancer therapy with the least toxicity to counteract hemoresistance in head and neck squamous cell carcinoma (HNSCC). Read more

Exploitation of Artificial Intelligence and Machine Learning for Quantity Surveying Practice: Using AI as an opportunity to improve Cost Certainty

Artificial Intelligence (AI) and Machine Learning (ML) often tends to go hand in hand for its propensity to mimic human cognitive functions such as problem solving, pattern recognition and respond to certain actions accordingly. Read more

Biomechanics and wearable sensors

Project Overview. Movement analysis and recording in humans has been confined to dedicated gait and motion capture facilities, but this only records movements for a single part of one day in an unusual environment. Read more

Eliminating Harmful Cells to Maintain Homeostatis and Prevent Tumorigenesis

Hamaratoglu Lab studies cell-cell signalling in development, homeostasis and tumourigenesis. We take advantage of outstanding genetic tools in Drosophila, and use larval imaginal discs as model epithelial organs. Read more

The Evolution of Vision in Mosquitoes

Background . Due to their capacity to transmit viruses such as Zika and parasites like Plasmodium (the causative agent of malaria), mosquitos are regarded by the World Health Organization as one of the most lethal organisms on our planet (WHO | Global vector control response 2017–2030, 2020). Read more

Energy Storage Modelling

Supervisory Team.   Prof Andrew Cruden, Prof Richard Wills, Prof Suleiman Sharkh. Project description. Applications are invited for a fully-funded PhD studentship to investigate the electrical, thermal and economic modelling of a range of electrical energy storage types (e.g. Read more

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