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for Multiscale Offshore Structures), which develops integrated AI methods for the analysis, design, monitoring, and control of floating offshore systems. Multi-modular floating structures are emerging as a
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other partners within this project. In case a (moving of fixed) bed is chosen, a coarse-grained CFD-DEM model or an Eulerian model will be developed, possibly making use of correlations from particle
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modelling for conversion and sorbent regeneration, in conjunction with another PhD student in the department who will perform CFD modelling and other researchers performing process system modelling within
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. Project Overview The project focuses on developing and applying advanced CFD models for aeroengine oil systems. There will also be opportunities to integrate machine learning techniques for building lower
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decade. This PhD project places you at the forefront of this challenge, developing the tools and insight needed to design the next generation of offshore aquaculture infrastructure. Research Overview
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8th October 2026 Languages English English English Do you want to contribute to the development of knowledge, insight and solutions that are relevant to society and working life today and in
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researchers the opportunity to develop academically and professionally through organised research training. It is a condition that the person who accepts the position applies for and is granted admission
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Job description Recent trends in Controlled Environment Agriculture (CEA) development, design, and operations related to energy saving and greenhouse gas emission reduction, are mainly focused
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quantum computing with decades of expertise in computational science. In this PhD project, you will help develop the foundations of Quantum Computational Fluid Dynamics (Quantum CFD). You will investigate
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an experimental aerodynamics team has concentrated on the development of advanced non-intrusive measurement techniques such as Particle Image Velocimetry, InfraRed Thermography and Background Oriented Schlieren