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Computer Science, Data Science, AI, or a related field with substantial expertise in data science/AI methods Strong publication record in relevant areas Demonstrated ability to work across disciplinary boundaries
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comprise both the development of bioinformatics pipelines and the application of novel machine learning methods for interpreting microbiome and host ‘omics data from faecal, intestinal biopsy and saliva
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research methods. They will also be able to work independently using recognised and novel methodologies to deliver agreed project goals. The University of Nottingham offers a friendly, diverse, and
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August 2025 Background To create and contribute to the creation of knowledge by undertaking advanced analysis and validation experiments within the MRC BioFlare research programme: Although outcomes in RA
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This research project aims to establish the theoretical and algorithmic foundations of quantum adversarial machine learning, an emerging field at the intersection of quantum computing and machine learning. It
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) results in enormous paradigms marked solely by the modulation of vowel properties. The NILOMORPH combines fieldwork, experimental methods, and historical linguistics to account for the phonological
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) results in enormous paradigms marked solely by the modulation of vowel properties. The NILOMORPH combines fieldwork, experimental methods, and historical linguistics to account for the phonological
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and interpret experimental data using statistical and algorithmic methods. Track record of publications in peer-reviewed journals or conference proceedings. Demonstrated ability to work independently
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methods, signal processing techniques, and comparison with alternative detection technologies. ii. Support design and development of NQR prototype, including system architecture, component selection, and
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and the development of innovative design concepts, maximizing material properties and sustainable manufacturing methods. Qualifications: Strong background in aircraft design. Proficiency in Python