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. when do we stop modelling? How do we track / score the quality of the model? What is the required level of quality over time? How can quality be brought to the required level? Can Machine Learning, Large
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interaction and origins of mechanical failure under pressure. They should have expertise in microelectrode arrays and multilevel high-density routing for large-area sensor systems. Experience in multicomponent
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, the ideal candidate will also have an interest in developing quantitative data analysis skills. The PhD is supervised by Dr. Ann-Marie Creaven (expert in loneliness) and Dr. Aoife Whiston (expert in network
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made. The project will involve using routinely collected healthcare data and/or large healthcare datasets such as the Clinical Practice Research Datalink. This is an excellent opportunity for someone
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, driven by future applications and services for 6G and beyond. Networks are also evolving to support a large variety of signals across larger access and metro network areas. For these novel scenarios
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Assistants is £32,546 - £35,116 and for Research Associates this is £37,174 - £45,413 per annum. Suitable candidates should have previous experience of genetic analysis of large scale genome sequence data and
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to air pollution in the future, and planning further policy changes. This PhD project will develop statistical modelling frameworks that are able to handle large-scale, complex, and correlated time series
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Project advert This research will investigate how aquatic macroinvertebrate assemblages and sediment regimes change following the introduction of Large Woody Structures (LWS) into river systems
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optimization techniques, coding new algorithms, creating new mathematical theory, and the analysis of large data ensembles. You will write papers for submission to academic journals, collaborate with academics
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Responsibilities for the role include: Data collection, cleaning, and merging from large-scale microdata sources (e.g., patents, dissertations, bibliometrics). Conduct data analysis using econometric and statistical