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background in physics, biophysics, biological physics, or bioengineering. This PhD project will primarily focus on experimental research, which will include data analysis and there is scope for modelling
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advanced simulation methods, including Reynolds-Averaged Navier-Stokes (RANS), Direct Numerical Simulations (DNS), and/or Large Eddy Simulations (LES), will be employed to accurately model the complex flow
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-edge biological modelling to understand exactly how IIDs spread in nurseries. The project aims to develop improved intervention guidelines to prevent high mortality IIDs, considering what’s realistic and
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hepatic dysfunction in Alpers’ syndrome. The proposed studentship will involve a multi-disciplinary mechanistic approach harnessing induced pluripotent stem cell (iPSC) in vitro models and a unique resource
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performance limit of Ga2O3 power devices through finite element modelling (electrical and thermal) and device fabrication aimed at both power electronics and photovoltaics. A self-motivated individual who will
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the ranking. However, STV method becomes considerably more complex with encrypted ballots. Our goal is to develop an algorithm/protocol to count encrypted ballot using the STV method. Our first point of
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electron microscopy image simulations Development of a machine learning model capable of inferring 3D atomic structure from two-dimensional TEM projection images Application of the new approach
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breast cancer in animal models (4). In this PhD project, we will investigate: The effect of combined treatment with ITCs and a selected anti-cancer drug (sorafenib or triptolide) on breast cancer will be
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objective of this research project is to unravel the complex dynamics of iron-dominated, nickel-dominated, and mixed Fe-Ni corrosion products on zircaloy surfaces. By exploring boiling, flow conditions, and
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| £20780 + £2500 industry top up (per annum (tax free)) Overview This exciting, fully-funded PhD opportunity invites applications from candidates with a robust foundation in data science, modelling, and