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Field
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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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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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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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, 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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3 years, full-time, English-taught, remote (flexible) About the programme The PhD in Economic Policy & Public Administration is a three-year, full-time, English-taught doctoral programme based
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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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profile. Your experience and ambitions We welcome candidates with a Master's degree in (computational) chemistry, physics, or materials science who are curious about applied machine learning in the natural
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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