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Description of thesis topic Turbulence in magnetic fields, or magnetohydrodynamic turbulence, is a fundamental process that underpins our understanding of a variety of natural and industrial
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model of complex systems, considering both cyber and physical aspects, and the human element. Use techniques like Attack Trees and Bayesian Attack Trees to predict attack stages and identify compromised
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way to overcome the limit of theoretical methods and measurement technologies to acquire the needed fine-scale data to investigate the fundamental physics. The project will build on the Mathematical
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searching for a highly motivated candidate with the following qualifications: Background in relevant engineering, mathematics, physics or computer sciences is highly desirable. Proficiency in at least one of
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Funding providers: Engineering and Physical Sciences Research Council (EPSRC) Doctoral Training Partnerships (DTP) and Swansea University's Faculty of Science and Engineering Subject areas: Computer
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include Chemistry, Analytical Sciences, Food Science, Brewing Science, Agriculture, Chemical or Process Engineering). How to Apply Candidates are welcome to contact Prof. David Cook (david.cook
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MSci/MChem (Hons) 2i or above or MSc in a relevant scientific discipline (examples include Chemistry, Analytical Sciences, Food Science, Brewing Science, Agriculture, Chemical or Process Engineering
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involves providing capital: financial (Smith, 2015), physical (de Guzman et al., 2020), social (Poon et al., 2012), human (Deng and Bai, 2014), psychological and intellectual (Chipfupa and Wale, 2018), and
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of these ways shed light on the history of veganism, develop the theory and methodology of vegan literary studies, and contribute to urgent contemporary debates concerning humans’ physical, economic, affectual