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models, making the use of data-driven approaches a promising direction. This PhD project will investigate the use of data-driven and machine learning approaches, both measurement based but also model based
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the quality of recycled materials, particularly polyolefins. Based at the University of Manchester and delivered in collaboration with the National Physical Laboratory (NPL) and Waters-TA Instruments
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2025. Encouraged by the continuing success of modern machine learning (ML) techniques, researchers have become ambitious to develop ML solutions for challenging science and engineering problems with
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objects, by embedding them into a 2 or 3-dimensional space through a representation learning algorithm, has been widely used for data exploratory analysis. It is particularly popular in areas such as
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? During the PhD, the student is expected to interact with academics across different departments from the University of Manchester, e.g. Offshore Renewable Energy Group, the Hydrodynamics Lab, as
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for innovative solutions to improve worker well-being. The project proposes a novel, integrated framework leveraging virtual reality (VR), the internet of things (IoT), and machine learning (ML). Workers will
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The student will benefit from working alongside a multidisciplinary team of engineers, mathematicians, and physicists at the University of Manchester as well as a wide collaboration network within the UK and
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to conduct impactful research and pursue excellence High levels of enthusiasm, passion, and self-motivation for sustainable aviation Intellectual curiosity and a willingness to learn through literature review
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use The Stuart Hall PhD Scholarship will be awarded to one student in the School of Social Sciences at the University of Manchester for a PhD starting in September 2025 and will cover fees and a stipend
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short in System 2-type reasoning (i.e., logical, long-term, and multi-step problem-solving). [Sys2RL] This research proposes leveraging Reinforcement Learning (RL) to enhance the reasoning capabilities