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PhD studentship: Predictive Modelling of Powder Blending in Continuous Direct Compression for Pharmaceutical Tablets Award Summary 100% fees covered, and a minimum tax-free annual living allowance
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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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analysis and compression tests. The wound healing ability of the scaffolds will be investigated using a range of biological assays including live/dead assays to determine cytocompatibility, confocal
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movement and mechanical loading. The device will combine biomimetic hydrogels containing cartilage cells with a stretchable mechano-actuator to apply controlled compression. By integrating immune cell co
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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
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This is an exciting PhD opportunity to develop innovative AI and computer vision tools to automate the identification and monitoring of UK pollinators from images and videos. Working at
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on electromagnetic motors, pumps, or compressed air systems. However, motors are often bulky, heavy, and rigid, while fluid systems are typically tethered and inefficient. There is an urgent need for untethered soft
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activity. These losses can occur through sweating, red blood cell haemolysis from repetitive foot strike and/or blood vessel compression during exercise, inflammatory/iron regulation hormone (hepcidin
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or 3-dimensional spaces, enabling insights about the underlying structure and distribution of the data. However, due to the heavy data compression into a space with only 2 or 3 degrees of freedom