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1-dimensional ocean-ice model. You will identify any long-term changes in ocean CO2 uptake along the Antarctic Peninsula using data from Rothera, SOCAT (www.socat.info) and mapped CO2 products, while
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Modern numerical simulation of spray break-up for gas turbine atomisation applications relies heavily upon the use of primary atomisation models, which predict drop size and position based upon
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: adapting existing models of bird movement and migration to test hypotheses about the ecological processes shaping observed connectivity patterns. Identify species and populations that have the highest
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of ncRNA. This will be achieved through the Aims 1-3. A PhD student will identify and characterise factors linked to production of ncRNA biochemically (Aim 1) and investigate how these are recruited to Pol
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, an important concept within physics, chemistry and biology, but one that lacks a full mathematical understanding. This project will tackle questions relating to universality within the KPZ class of models. Some
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will be required to demonstrate their ability to identify fundamental flow features and model these using suitable CFD methods. Experience in Fortran/C/C++/Python/Matlab is an advantage but not essential
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Funding Source: EPSRC DTP Supervisors: Professor Tony McNally Supporting Company: Roxel Ltd Start date:1st October 2025 Project Overview: The aim of this PhD is to investigate RAM formulation
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wanting to begin a PhD in October 2026. SENSS is one of 15 Doctoral Training Partnerships (DTPs) across the UK, funded by the Economic and Social Research Council . We will fund innovative PhD projects in
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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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for fieldwork in South America. Training and Skills Development This PhD will provide comprehensive training in: Molecular techniques: DNA extraction, PCR, and next-generation sequencing library preparation