127 engineering-computation "https:" "https:" "https:" "https:" "https:" "Fraunhofer Gesellschaft" positions at Ulster University
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approaches often provide only limited insight into these effects. This project will use advanced computer simulation, informed by post-operative scans and patient movement data, to understand how variations in
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://dx.doi.org/10.2139/ssrn.4660670 15. Higham, N.J. (2002). Computing the nearest correlation matrix: A problem from finance. IMA Journal of Numerical Analysis, 22(3), 329–343. https://doi.org/10.1093/imanum
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-7_35 Yu, Z. (2025). 'Application of Virtual Reality Technology in Digital Protection of Cultural Heritage', Highlights in Art and Design, 9(3), pp. 46-50. Available at: https://doi.org/10.54097/50dekj79.
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on digital health technology derived endpoints https://www.sciencedirect.com/science/article/pii/S1359644625001011 (opens in new window) https://www.sciencedirect.com/science/article/pii/S1359644625001011
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autism spectrum disorder. Disability and Rehabilitation: Assistive Technology, 13(4), 353-365. Communication Matters, 2023 https://www.communicationmatters.org.uk/ (including Communication Matters Journal
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in Gait Training. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 24(11), https://doi.org/10.1109/TNSRE.2016.2551642 * Friston, FitzGerald, Rigoli, Schwartenbeck & Pezzulo (2017
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glioblastoma (GBM) patient-derived tumour models using an engineered extracellular matrix (ECM) tissue mimic hydrogel system and HTP 3D bioprinting. Gene expression analysis from a GBM patient cohort will be
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of work and retention of talent (Theme 2: Action 8). The Programme for Government (2024-2027) highlights the huge pressure on health services in NI, with increasing demands predicted by 2043, and a
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. This is a collaborative research project with the Northern Ireland Housing Executive. Applicants should have a degree or be near completion of a degree) in a relevant discipline such as building engineering
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, Vol. 12, No. 5, 2021 Hechler, E., Oberhofer, M. and Schaeck, T. (2020), Deploying AI in the Enterprise, Apress Berkeley, CA, https://doi.org/10.1007/978-1-4842-6206-1 Programme for Government 2024–2027