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record in astrocyte-neuron interaction modelling, published in Frontiers in Computational Neuroscience, PLoS Computational Biology, Neurocomputing, and IEEE Transactions on Neural Systems and
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difficult to interpret and require vast amounts of data to perform well. This PhD will investigate how AI can become more adaptable, efficient, and understandable by integrating people directly into the
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Computational Biology communities. The PhD researcher will gain training in: AI and ML Computational modelling of behaviour and brain function High-performance computing Applied mathematics and statistics
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, mitigates the impact of climate variability, and enables year-round production of high-quality crops. However, the energy-intensive nature of vertical farming, particularly its reliance on artificial lighting
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they will affect local health services. This PhD offers the opportunity to address that gap. You will develop the first Northern Ireland Heat Atlas of night-time humid heat, combining climate projections with
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Summary This PhD project will develop and validate an ultrasound-based system for real-time monitoring of bone temperature and insertion forces during orthopaedic implant procedures. Excessive heat
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energy. A good understanding of the physics of air flow and heat transfer is required for this project. An understanding of thermal comfort is desirable. The work will involve experimental analysis using
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. et al. (2024). Design of high-performance entangling logic in silicon quantum dot systems with Bayesian optimization. Scientific Reports 14, 10080. https://doi.org/10.1038/s41598-024-60478-9
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Apply and key information This project is funded by: Department for the Economy (DfE) Summary CNC machining delivers high precision but is costly, rigid, and limited in adaptability. Robotic
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options. Adsorption is a promising approach for removing algal contaminants with activated carbon widely recognized for its high adsorption capacity and adaptability in treatment systems. However, the