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We have 42 Computer Science PhD Projects, Programmes & Scholarships in Bristol
Computer Science PhD Projects, Programmes & Scholarships in Bristol
We have 42 Computer Science PhD Projects, Programmes & Scholarships in Bristol
Unveiling intercellular dynamics in cancer progression using deep learning on single-cell and spatial transcriptomics data
The project. Colorectal carcinoma (CRC) is the second deadliest cancer worldwide, with a 5-year overall survival rate below 10%. CRC is classified into four consensus molecular subtypes (CMS1–4). Read more
Modelling the Human Cancer Genome
The project. Following on from work on integrative methods for machine learning, and with collaborators such as Tom Gaunt at the University of Bristol, we have been developing integrative methods for identifying disease-driver variants in the human cancer genome (see [1] for a review, also [2]). Read more
Instruction Following for Resource Efficient NLP Models
The project. Large language models (LLMs) are known for their ability to follow instructions and learn from examples provided inside a prompt. Read more
Linguistics in the machine learning era.
The project. Children learn languages compulsively and efficiently; they learn a language even if no effort is made to teach them one and they learn from a surprisingly small corpus of examples. Read more
Privacy in DeFi: Balancing Transparency and Confidentiality
The project. Transparency is a cornerstone of DeFi, but it comes at the cost of privacy. This research aims to address privacy concerns by exploring methods that could enhance confidentiality without sacrificing the openness DeFi protocols rely on. Read more
Clustering and Categorizing Blockchains Based on On-Chain Transaction Data Using Machine Learning Algorithms
The project. Blockchain networks are often considered pseudo-anonymous, where users can control multiple wallet addresses, making it challenging to distinguish between individual users and groups of associated wallets. Read more
Modelling, simulations and machine learning of the dynamics of human swallowing
The project. A normal swallow is an impressively complex sequence of movements, requiring the coordination of muscles located within the oral cavity, pharynx, larynx and oesophagus. Read more
3d-printed dexterous robot hands with a sense of touch
The project. Robust manipulation with robotic hands would have revolutionary implications across many high-impact areas in robotics, including the factories-of-the-future and autonomous healthcare. Read more
Novel Machine Learning approaches to model and understand RNA virus diversity
The project. RNA viruses are an important class of pathogenic agents, both in human and non-human hosts. The complexity of the viral diversity and the host cell environment means that understanding the role of the virus in manipulating the host genome is complex and requires a targeted approach. Read more
Towards On-Premise Artificial Intelligence (TOP AI)
The project. On-premise AI refers to artificial intelligence systems that are deployed and operated on personal or organisational infrastructure, such as a mobile phone or an in-house server, instead of relying on cloud-based platforms. Read more
Engineering minimal and cargo-activated protein transport machines
The project. Molecular motors are essential for life and efficiently transduce chemical energy to mechanical work. This project aims to elucidate the requirements for motility and energy transduction in motor proteins. Read more
AI insights for Alzheimer's disease: unveiling cellular mechanisms for drug discovery
The project. This project is dedicated to advancing our understanding of Alzheimer's disease through the application of AI models, specifically focusing on deep learning techniques. Read more
Enhanced Decision-Making in Decentralized Finance
The project. Blockchain technology has redefined decentralized systems, presenting unique challenges and opportunities in areas such as optimization, security, and economic efficiency. Read more
Investigating shared space safety and level of service using microscopic and macroscopic models for cyclist, pedestrian, and e-scooter traffic
The project. Shared spaces are used by more than one transport mode. While most research has focussed on shared spaces involving the dominant mode, motorised vehicles, settings in which only active transport modes, such as pedestrians and cyclists mix are far more common. Read more