23 high-performance-computing-"https:"-"CIPMM---Systemic-Neurophysiology" "https:" "https:" positions at Ulster University in United Kingdom
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Low-Cost Sustainable Materials to Mitigate the Impact of Taste and Odour Compounds from Algal Blooms
widely recognized for its high adsorption capacity and adaptability in treatment systems. However, the relatively high cost of activated carbon limits its application, particularly in resource-constrained
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, Appl. Therm. Eng. 113 (2017) 1118–1127. https://doi.org/10.1016/J.APPLTHERMALENG.2016.11.041 D.V. Ly, Y. Kishi, T. Nakayama, N. Yamada, Thermal performance of polymer gyroid heat exchangers combined with
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Summary Research has a high carbon footprint and hence a sustainable approach has become a necessity (UKRI, 2026) .Thus far the approach has been to deal with the low hanging fruit such as waste
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leading international collaborators. The student will gain valuable knowledge and training in mathematics, machine learning, high-performance computing, and brain sciences. Essential criteria Applicants
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, despite the growth in low-energy and high-performance building standards, there remains a persistent performance gap—the difference between modelled and actual energy performance and thermal comfort
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Summary Robotic welding is used for joining large, high-value metal components. Yet, when quality drifts go unnoticed with bead misalignment, arc instability, or defects, the manufacturers face
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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
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welcome. The research will be conducted at the HySAFER Centre using contemporary ANSYS software and the state-of-the-art high-performance computing facilities of Kelvin-2 in Northern Ireland. The results
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Advances, 7, 100146. https://doi.org/10.1016/j.envadv.2021.100146 Wu, X., Gasparrini, A., Vicedo-Cabrera, A. M., Sera, F., Armstrong, B., & Tong, S. (2025). Future heat-related mortality in Europe driven by
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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