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Field
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, multidimensional datasets is transforming marine ecology and redefining how we detect and respond to ecosystem change. Methodology This PhD will place you at the forefront of this emerging field. You will address a
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introduced EU Deforestation Regulations aim to reduce the environmental impact of ‘Forest Risk Commodities’ (FRCs) such as soy, palm oil and coffee. Land-use changes, like forest clearing and burning
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applicant must have (or be close to obtaining) a relevant PhD in Fluid Mechanics from an Engineering, Mathematics or Physics Department, a strong background in theoretical and computational fluid mechanics
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, a PhD (or have equivalent experience). Candidates with a background in environmental or related sciences are particularly encouraged to apply, but we will also consider those with other numerical
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regions? Which weather, landscape and land use factors promote or inhibit megafire development? Has climate change increased megafire risk, and how could those risks evolve in the future? Methodology
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Develop practical, industry-transforming technology in this hands-on PhD program focused on immediate industrial applications. This exclusive opportunity places you directly at the interface between
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applying to the Computer Science PhD programme, supervised by Dr Ashley Fraser. For your application, you will need: Two-page CV with names and contact details of two referees (one must be academic). In
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, visualisation and interpretation using coding (Python or Matlab) and learn to use a 1-dimensional ocean biogeochemical model. You will collaborate with the dynamic Rothera and POLOMINTS (http://polomints.ac.uk
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Application deadline: All year round How to apply: uom.link/pgr-apply-2425 UK students only This 3.5-year PhD studentship is open to Home (UK) applicants. The successful candidate will receive an
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based modelling, the application of mathematical concepts from UQ/ML to practical problems, and an understanding of scripting/programming. Individuals with an applied mathematics background who have an