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ecology and associated fisheries. A gap in local knowledge/data and technical capacity to coordinate and deliver usable data tools was identified. This gap inhibits the dynamic understanding of the impact
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with good employment conditions. More information about the department is available at: Department of Computing Science . Project description Machine learning is a key technique in many research and
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health management (IVHM) system that leads to enhance safety, reliability, maintainability and readiness. Generally, prognostics models can be broadly categorised into experience-based models, data-driven
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media-diversity-sustainability challenges. Industry partners may also mentor you as you progress. For further information visit our Creative Bridges CDT website. There are two types of studentships
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support systems, specifically simulation games and geospatial digital twins. These systems use detailed representations of a real-world environment and its processes by linking to a myriad of data and
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Doctor of Philosophy (PhD) graduate researchers, in which the primary data for the PhD thesis can be collected only in a field location (for example, a fundable project may require access to particular
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data processing pipeline capable of handling complex behavioural datasets from biologgers and autonomous monitoring units, enabling accurate movement and interaction analysis without reliance on GPS
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: advising them on experimental design, sample preparation and data interpretation You contribute to the continuous improvement of workflows, quality standards and documentation within the core facility You
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Collaborate with CCY researchers on ongoing projects and contribute to the development of new research initiatives Contribute to data analysis and data management Contribute to national and internationals
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of receiving a scholarship, we advise all candidates to submit their application as soon as possible. Online information session We are inviting you to attend an online information session about LUMS PhD