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long non-coding (nc) RNA molecules produced from eukaryotic genomes in addition to protein-coding mRNA. Mutations in non-coding regions of the genome and altered expression of ncRNAs underpins a number
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MRC DiMeN Doctoral Training Partnership: Exciting PhD opportunity - Cracking the RNA Code of Inflammation: A New Frontier in Ageing Research MRC DiMeN Doctoral Training Partnership PhD Research
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environments such as low light, heat haze, and adverse weather is significantly difficult. These conditions not only degrade video quality but also complicate interpretation by humans and machines, making post
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interest in biodiversity, functional ecology, image/video analysis, and conservation. Experience with programming, statistical analysis, or spatial modelling is desirable but not essential, as full training
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best practice guidance. You should have demonstrable skills in qualitative data analysis, including familiarity with, or knowledge of, engaging research methods (e.g. participatory video, photovoice
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families of quantum codes such as permutation invariant codes and some bosonic codes. This PhD will explore the theoretical application and optimisation of these quantum codes for quantum technologies
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– such as tandem neural networks , video diffusion models , and reinforcement learning – will be explored to efficiently navigate these high-dimensional, nonlinear design spaces. To achieve robust property
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the education/instructional videos contained within them. Therefore, you will be contributing to the development and refinement of a potential medical device that could become adopted into clinical
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Assessment Systems: Toward Trustworthy AI for Complex Educational Evaluation Image and Video Analysis Using Machine Learning Algorithms Mathematical and Computational Neuroscience, from neural data and network
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from video recordings. This studentship would be part-sponsored by an industrial partner, Neurotherapeutics Ltd. Use translational neuroimaging and neurophysiology methods together in a rodent model of