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collaborative studentship between the University of Edinburgh and the National Quantum Computing Centre (https://www.nqcc.ac.uk ). The position will be registered and hosted at the University of Edinburgh and
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parameters/mechanisms and model outcomes by varying the parameters simultaneously over a large range of values. Once the simulations are performed, the output variability can be apportioned onto the input
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research team. Good knowledge and experience in heat and mass transfer is essential and proficiency in the use of Computational Fluid Dynamics will be considered an advantage. The student will benefit from
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PhD programme within QMUL’s Wolfson Institute of Public Health, under the supervision of Dr Giuliano Russo (WIPH) and Prof. Pietro Panzarasa (School of Business and Management). As part of the project
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isolation, leading to suboptimal network performance. This project seeks to address this gap by developing a holistic, system-level approach that optimises PST deployment strategies to enhance grid
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of measles evolution and naming systems (nomenclature) to support public health identification of measles outbreaks/importation and ultimately, elimination. In this project you will learn to perform genomic
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Project description: Reliable, high-resolution electricity demand data are scarce across the global south, limiting our understanding in these regions of the relationship between weather and energy demand
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and linear steep sided cut channels, which can restrict creek development and negatively impact site functioning. This project will use remote sensing, geophysical surveying and sedimentological
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significantly reduce carbon emissions and bolster global efforts to achieve net-zero targets. Despite considerable advancement in their operational performance, their life cycle impacts, including raw material
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their numerical implementations will be supported through high quality experimental data obtained at Manchester. Applicants should have, or expect to achieve 1st class honours degree or a master’s in