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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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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
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specification Qualifications Applicants should normally have: A good honours degree, normally at least a UK 2:1 or international equivalent, in computer science, artificial intelligence, data science, biomedical
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the programme code: 8100F · select ‘PhD Chemistry (full time) as the programme of study You will then need to provide the following information in the ‘Further Details’ section: · a ‘Personal