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), machine learning (ML), deep learning (DL) and Data science methods for medical image analysis, to autonomously grade the fundus images from large datasets. This will be supported by Professor Neil Vaughan
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membranes. These insights will inform both environmental monitoring and our understanding of PFAS toxicity at the molecular level. You will work within a multidisciplinary team led by Professor Vollmer
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will apply nonlinear and associational (colloquially called “causal”) timeseries analysis techniques to provide a more rigorous, and more statistically significant framework for understanding
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elasmobranchs distributed in the North-East Atlantic? how might that shift under climate change? how do deep-water elasmobranchs use or associate with benthic habitats? what role do they play in deep-sea food