583 phd-studenship-in-computer-vision-and-machine-learning PhD positions in United Kingdom
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represent the research group at external seminars and conferences. To be considered, you must hold a PhD/DPhil in statistical genetics, quantitative genetics, bioinformatics, computer science, statistics
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Award Summary Full PhD tuition fees at the UK home student rate (UK students and EU students with settled or pre-settled status). An annual stipend equivalent to the UKRI doctoral stipend (estimated
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are invited for a three-year PhD studentship The studentship will start on1st Jan 2026 Project Description Surgical resection is the primary treatment for meningiomas, but radiotherapy (RT) is commonly used as
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Recently, many councils in Wales started using single transferable vote (STV) method for counting ballots. While counting plaintext ballots using STV method is straight forward, but a rank-based ballot may leak the voter’s preferences if published publicly in plaintext, as the ranking order can...
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computational and machine learning approaches to integrate Oxford Nanopore (ONT) long-read data with bulk and single-cell RNA-seq profiles. The aim is to identify host-microbiome molecular signatures that drive
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which there exists extensive experience in the areas of machine learning, biostatistics, and medicine: Dr Yanda Meng and Dr Tianjin Huang (Machine Learning), Prof Yalin Zheng (AI in Healthcare), A/Prof
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Research Office Location: Newport, Shropshire TF10 8NB Post Type: Full Time Contract Type: Fixed Term - 36 Months Closing Date: 23.59 hours BST on Sunday 19 July 2026 Reference: PHD-SELF-OCT-2026
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King’s College London is inviting applications for a PhD studentship for an outstanding doctoral candidate wishing to pursue a research project in the field of education in colonial and postcolonial
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Gamesa Renewable Energy R&D team and also undertake an industry placement as part of the PhD programme. To apply, please contact the main supervisor, Dr Chen - lujia.chen@manchester.ac.uk . Please include
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including machine learning. This research will support the path to net zero flights and there will be opportunities to become involved in practical aspects of fuel system design and testing during their PhD