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A PhD opportunity at the EPSRC Centre for Doctoral Training in Quantum Information Science and Technologies at the University of Sussex School of Mathematical & Physical Sciences The University
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is a willingness to work collaboratively with the wider team. If you like the idea of working as part of an interdisciplinary team that is helping bring cloud computing to the world of genetics-based
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to the development of multiscale computational models for simulating crack propagation and establishing reliable methods to predict the residual strength of composite structures. The simulations, performed in Ansys
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such as landslide movement style, runout, and how landslide hazards evolve over time. This Ph.D. project will leverage the analysis of new time-series data from cloud-based satellite image archives
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within a Unix/Linux HPC or cloud computing environment Proficiency in programming (e.g. using Linux/Python and R), command-line applications, and programming standards such as version control High level
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with, cloud computing and virtualisation technologies Familiarity and hands-on experience with machine learning techniques desirable Desirable to have work experience (through internships or similar) in
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(NOₓ), and contrail-induced cirrus cloud formation. Aviation currently accounts for approximately 3.5% of total anthropogenic radiative forcing, with non-CO2 effects responsible for around two-thirds
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significantly reduce the amount of vibration data to be stored on edge devices or sent to the clouds. Hence, this project's results will have a high impact on reducing the hardware installation and operation
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cloud-computing (Azure, Google cloud platform, AWS) are considered beneficial but not essential. Funding This is a self-funded opportunity. Diversity and Inclusion at Cranfield We are committed
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Type of award Scholarship Managing department Faculty of Science and Engineering Value The four-year funded A*STAR PhD programme at Manchester enables postgraduate researchers in science and