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involves the use of correlations available in the scientific literature and computational fluid dynamics (CFD) analyses to assess and refine aerodynamic efficiency. This research is conducted within a
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://doi.org/10.1680/jgeot.17.P.161 [6] Sanvitale N., Zhao B., Bowman E. & O’Sullivan C. (2021) Particle-scale observation of seepage flow in granular soils using PIV and CFD. Géotechnique. https://doi.org
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oriented, regionally anchored top university as it focuses on the grand challenges of the 21st century. It develops innovative solutions for the world's most pressing issues. In research and academic
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equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT. The primary responsibility of this role is to develop a validated and robust
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to wind catching system for the development of a 40 MW multi-rotor wind turbines, made of 40x1MW rotors (Link https://www.offshorewind.biz/2025/01/28/norway-grants-eur-100-million-to-deploy-multi-turbine
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experienced by hypersonic vehicles and quantifying the overall uncertainty. The candidate will assume the role of a software developer in the Computational Fluid Dynamics (CFD) and Propulsion Laboratory, a
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will work at the interface of rigorous mathematics, modern AI, and research‑grade software development, with results integrated into the DTCC Platform and validated on real city data in collaboration
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focus on translational Research, Development & Deployment which focus on specific area of the energy value chain, and a number of Living labs and Testbeds which facilitate large scale technology
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for calculations developed with system codes (e.g. TRACE), as well as for new applications that are beginning to emerge with computational fluid dynamics (CFD) codes. Where to apply Website https://www.upv.es
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Summary Meeting future energy demands requires efficient, low-carbon systems capable of storing and releasing heat when needed. This PhD project aims to develop next-generation latent heat thermal