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proposal. This PhD will evaluate the efficacy and suitability of digital image collection and analysis for beach litter characterisation on heavily-littered coastlines, in partnership with community groups
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the research. They will conduct relevant systematic and/or meta-analytic reviews to describe the current literature and inform their research. They will undertake qualitative data collection and analysis and use
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a Federated Learning approach to deploy the AI, ensuring robust privacy preservation of sensitive student data. The successful applicant will undertake advanced statistical analysis and stakeholder
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An interdisciplinary and international research environment Professional development in research communication, data analysis, and project management How to Apply Please send the following documents as a single PDF to
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, and explore optimisation strategies for deploying these models in modern data analysis pipelines. You will have the opportunity to join the LIGO Scientific Collaboration as well as the team developing
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background in physics, biophysics, biological physics, or bioengineering. This PhD project will primarily focus on experimental research, which will include data analysis and there is scope for modelling
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data analysis. The PhD student will benefit from not only the excellent academic environment at The University of Manchester, but also from access to state-of-the-art instrumentation such as the recent
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literature review on flares and prodromal symptoms; (2) Complete analysis of survey data from >3000 patients to investigate patterns and progressions of flare symptoms; (3) Co-design (with patients and
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effects on the human host, either beneficially, such as antibacterial compounds, or negatively, such as toxins. Computational analysis of genomic data highlights a vast number of pathways to such molecules
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projects in the Centre for AI and Robotics Research. Funded PhD projects Adaptive Systems Research Group Artificial Intelligence in Games Continual and Open-ended Reinforcement Learning Information and the