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Field
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range of bioinformatic and spectroscopic techniques to: 1) Determine the major microbial pathogens and their metabolic activity in the anaerobic digestion process; 2) Identify and quantify the different
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, ultimately optimising the deposition process. Additive manufacturing (AM) is a rapidly advancing technology, driving numerous innovations and finding diverse applications across industries such as aerospace
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imaging features to phenometabolic signatures from tissue samples taken during surgery and matched to the imaging. The project is part of the imaging theme for the new Nottingham Brain Tumour Research
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to a maximum of 6 hours of paid work per week outside of your PhD studies. This applies to both on-campus and distance-learning programmes. If you intend to work more hours in parallel to your studies
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to phenometabolic signatures from tissue samples taken during surgery and matched to the imaging. The project is part of the imaging theme for the new Nottingham Brain Tumour Research Centre of Excellence. This is a
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AI-electronic systems, ensuring secure communication and operation. Side-Channel Attack Mitigation: Implement techniques to protect systems against side-channel attacks, safeguarding sensitive
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for gastrointestinal (GI) infections. Current PCR methods are limited by detecting only pre-specified targets. Leveraging shotgun metagenomics and advanced bioinformatics, this project will establish the evidence base
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chem- and bioinformatics to computer vision and social network analysis. Machine learning with graphs aims at exploiting the potential of the growing amount of structured data in all these areas
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screened without further cumbersome purification. These methods will allow the parallel synthesis and testing of ca. 100 compounds in a single operation, potentially taking less than a week to design
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-phase chemistry coupled with solid-phase reaction clean up using tethered reagents that enable pure compounds to be screened without further purification. These methods will allow the parallel synthesis