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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
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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
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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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, Pharmacy or a related area. Informal enquiries are welcomed; for further information please contact Dr Andrew Gates ([email protected] ). The Norwich Research Park Biosciences Doctoral Training Programme
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, Mechanical or Automotive Engineering, Computer Science, Applied Mathematics or other related Engineering disciplines/ Physics. How to apply: Candidates should submit an expression of interest by sending a CV
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computational biology. The Norwich Research Park Biosciences Doctoral Training Programme (NRPDTP) is offering fully funded studentships for October 2026 entry. The programme offers postgraduates the opportunity
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Postgraduate Application’. Use ‘Course Search’ to identify your programme of study: Search for the ‘Course Title’ using the programme code: 8100F Select ‘PhD Chemistry (full time) as the programme of study You
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motivated students with a strong background in engineering or computer science. The ideal candidate will have: Strong programming and software skills. An awareness of machine learning theory and techniques