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resilience in complex and dynamic environments. Applicants should have, or expect to achieve, at least a 2.1 honours degree or a master’s (or international equivalent) in a relevant science or engineering
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how listening context, device, room acoustics and cognitive effort affect understanding. Expected outcomes include a validated computational model, new datasets and experimental protocols, and practical
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response to stress (for example during periods of drought). This PhD project will involve using biophysical and molecular biology techniques to determine the type of structures which the RNA is able to fold
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passes. You will need to meet the minimum entry requirements for our PhD programme . Applicants should have a first-class or upper second-class honours or equivalents in Biochemistry, Biomedical Sciences
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to obtain) a first‑class or strong upper‑second‑class degree, or a Master’s degree, in a relevant discipline such as Control/Systems Engineering, Electrical or Electronic Engineering, Computer Science
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, MSc, MPhys, etc.), or the equivalent qualifications gained outside the UK, in a relevant area of Physical Science, Materials Science, or Engineering. You should be able to demonstrate some computational
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biology approaches to identify transcriptional networks and signalling pathways controlling cardiovascular development. Using novel datasets generated from mouse models of congenital heart defects, the
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biology approaches to identify transcriptional networks and signalling pathways controlling cardiovascular development. Using novel datasets generated from mouse models of congenital heart defects, the
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systems are generally ill-conditioned. The project sits at the intersection of classical numerical analysis, scientific machine learning and computational chemistry. Based on regularization techniques and
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. Eligibility: The candidate should have a good 2.1 Bachelors, or Masters degree in Engineering, Computational or Physical Sciences, or Physiology/Medical Sciences. This project will suit those with a keen