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achieve an average of 65% or higher in your MSc taught assessments to be considered for progression to the PhD studies. Note: you will not graduate with an MSc. If you meet the progression criteria, you
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interpretation of the data generated and that’s where this project comes in. You’ll be applying metagenomic techniques to respiratory samples and developing analysis and interpretation approaches that facilitate
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Title: Predicting and Improving the Quality of Recycled Plastics Using Advanced Metrology and Data Science Research theme: "Materials Characterisation" "Data Science and Machine Learning in
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The successful candidate will work in a highly interdisciplinary environment as part of a vibrant cohort of HDR UK-funded PhD students, with outstanding networking opportunities with fellow students
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Project description: Reliable, high-resolution electricity demand data are scarce across the global south, limiting our understanding in these regions of the relationship between weather and energy demand
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of the training data. Hardware vendors have begun to design specialised hardware accelerators that can perform very efficiently a limited range of operations using low-precision formats such as FP8, binary16
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Short overview of PhD opportunity The PhD studentship aims at studying and developing more comprehensive user interfaces for computer-aided decision-making processes, which can benefit from 3D/360
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of data but in many cases, are failing to use this data effectively. ‘Bad’ data carries significant costs for organisations and the wider economy, as well as having a negative environmental impact. This PhD
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holistic views of complex chemical and biological systems. However, discrepancies in data structure, measurement scales, and resolution across platforms make this integration challenging. Existing approaches
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This PhD project aims to advance Safe and Sustainable by Design (SSbD) pharmaceutical manufacturing by integrating cutting-edge methodologies, including computer-assisted retrosynthesis, end-to-end