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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
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on the fabrication, assembly, and testing of heat pipe systems Contribution to the development and optimization of manufacturing and integration methods for heat pipe components Numerical simulations (FEM/CFD
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Help push the boundaries of urban wind modelling by developing efficient
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Development of a numerical tool for assessing radon prevention and mitigation methods in energy-efficient new buildings and existing buildings A PhD position is available in the Department of Physics
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University of Gothenburg. You 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
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Computational Fluid Dynamics (CFD) techniques on the airways of humans, non-human primates and animals in a clinical context and in relation to geographical and climatic variation and human craniofacial evolution
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applications. To achieve this, you will employ computational fluid dynamics (CFD) and machine learning (ML) to investigate degradation mechanisms under various operating conditions and develop strategies
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of next-generation lightweight electric vehicles. The work will focus mainly on the development of numerical models (CFD) for the analysis and understanding of the behavior of the solution to be developed
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facility development at the Faculty of Science and Technology, Department of Energy and Petroleum Engineering. The researcher position will be focused on advancing sustainable and intelligent energy