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, efficiency, and the optimisation of material, energy, and waste flows. The main tasks include: Developing Digital Twins: Using data from other work packages, we will create digital twins (DTs) for waste
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project entitled: “Development and application of computational tools for the early detection and deconstruction of chromosomal instability in cancer” For further information about the research group
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Announcing 10 PhD Studentships within the Royal Holloway Social Purpose Centre for Doctoral Training
interested in one of these, please get in touch with the project supervisor directly. To view potential projects, please visit the CDT’s webpage, here . Prepare application following the Applicant information
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computing and analysis of data will enable the development of control mechanisms that will overcome one of the major barriers for exploiting the benefits of hybrid propellant propulsion systems. The project
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Hamied Department of Chemistry. For further information about the research group, including their most recent publications, please visit their website at http://www-balasubramanian.ch.cam.ac.uk . Project
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third over the past 25 years, which is inferred from sparse soil data and the widespread decline of their avian predators. Recent developments in soil geophones and contact microphones have enabled
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of mathematics, statistics, data science and physics to make real impact outside of academia and to interdicsiplinary research. NU Solve also operates a drop-in clinic for University staff to get help with
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) in quantitative biology, statistics, or a related discipline, and have experience using statistical modelling and data analysis to address predictive or inferential questions in ecological
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railway earthworks. Additionally, the project will integrate environmental data through data fusion and develop automated machine learning tools for anomaly detection and risk assessment. The effectiveness
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, intelligent monitoring systems and predictive technologies have become essential competitive advantages. This project sits at the intersection of data science, engineering, and design innovation, addressing