101 systems-science-"https:"-"https:"-"https:"-"https:"-"C.N.R" positions at Ulster University
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Development of smart clothing for physiological monitoring of children with heart conditions at home
system for paediatric cardiac patients is essential for optimising treatment outcomes. Therefore, a PhD project is proposed with a multidisciplinary approach that combines design, materials science
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with a background in computing or data science who wish to connect technical innovation with human-centred system design. The project supports Northern Ireland’s priorities in Software/Cyber and Life
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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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Apply and key information This project is funded by: Department for the Economy (DfE) Summary The UK has set a Net Zero target by 2050, which means no longer adding to the total amount of greenhouse
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. This project is available in the Computer Science Research Institute and is tenable in the Faculty of Computing, Engineering and the Built Environment, at the Magee campus. The PhD researcher will be based
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., Siddiqi, H., Uribe, K.B., Ostolaza, H. and Martin, C. (2020) Pathophysiology of type 2 diabetes mellitus. International Journal of Molecular Sciences, 21(17), 6275. doi:10.3390/ijms21176275 Nauck MA, Tuttle
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engineering/electronics engineering, or a related field will be advantageous, along with knowledge of the following: *low-power circuits/system design for ASIC, *Verilog based FPGA based system design
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your studies . Recommended reading Deka, T.J., Osman, A.I., Baruah, D.C. & Rooney, D.W., 2022. Methanol fuel production, utilization, and techno-economy: a review. Environmental Chemistry Letters, 20, pp
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Apply and key information This project is funded by: Department for the Economy (DfE) Summary There is both growing anxiety and optimism around the use of Artificial Intelligence (AI) in
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intraoperative feedback on these risks. The project will combine biomedical engineering, signal processing, and clinical collaboration to design a non-invasive ultrasound monitoring system capable of quantifying