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the application of machine learning and artificial intelligence. By using neural networks developed in Python, the project aims to generate robust and generalisable models for scaffold design. Industrial
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laboratories and tutorials as part of the scholarship. Tasks: The successful candidate will be involved in: 1. Devising and implementing algorithms for machine learning (ML) on hypergraphs generally and CRNs
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multicellular human heart tissue constructs derived from induced pluripotent stem cells. As part of the PhD program, you will receive advanced training in biofabrication, microscopy, computer vision, and hydrogel
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of their production including low yield, high variability and a dependency on large-scale transient transfection of multiple expression plasmids. Modified cell therapies (e.g. CAR-T) are another exciting new modality