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Skip to main content Main Menu - Primary Home Projects Supervisors Expression of Interest Contact Immersive Visualization of Protein Structures in Food Science Using VR/AR Primary supervisor Wai Peng
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Our industry partners are developing software for automation of Hydrogen Deuterium Mass Spectrometry, which can connect structure, behaviour and function of proteins, for understanding diseases and
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structured domains such as trees and graphs is a challenging but important problem. This project aims to solve these limitations. Novel Adversarial Machine Learning algorithms for structured data will be
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biological networks as a form of relational and structural learning. Given a network dataset, we wish to infer a model of the distribution of the elements of this data-set, possibly as a mixture of several
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students, compared to their male counterparts, were often predicted as being less likely to accomplish their study. Therefore, this project aims to investigate issues that are essential to the construction
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the higher education sector and knowledge of the structure and operations of university learning, teaching and research with the ability to motivate and engage students. If you are seeking an opportunity
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structure. MML constructs a two-part message consisting of an assertion (describing the model and its parameters) and a detail (encoding the data given the model). The total message length, measured in bits
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successful candidate, you will bring extensive experience in operational management within complex or matrix organisational structures, demonstrating a proven ability to provide authoritative policy and
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progress, delivery and outcomes. Additionally, you will provide structured feedback to management which contributes to the development, delivery and improvement of Access, Inclusion and Success and informs
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is like Ockham's razor, seeking a simple theory that fits the data well. It can also be thought of as file compression - where data has structure, it is more likely to compress, and the greater