28 computer-"https:"-"APOS-UFFICIO-CONCORSI-DOCENTI" "https:" "https:" "https:" "https:" "J. F" PhD positions at University of East Anglia
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that are interested in the evolution of plant-pathogen interactions. The Norwich Research Park Biosciences Doctoral Training Programme (NRPDTP) is offering fully funded studentships for October 2026 entry
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through exchange opportunities with the group’s collaborators (e.g. at the Wenner Gren Institute/University of Stockholm). The Norwich Research Park Biosciences Doctoral Training Programme (NRPDTP) is
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. The Norwich Research Park Biosciences Doctoral Training Programme (NRPDTP) is offering fully funded studentships for October 2026 entry. The programme offers postgraduates the opportunity to undertake a 4-year
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facilities, located at the core of the Norwich Research Park. The Norwich Research Park Biosciences Doctoral Training Programme (NRPDTP) is offering fully funded studentships for October 2026 entry
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. genetics, molecular biology, evolutionary biology) or a quantitative science (e.g. computer science, statistics, physics), and have strong interests in genomics, data analysis and evolution. The Norwich
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(Quince). For information on eligibility and how to apply: http://www.uea.ac.uk/phd/mmbdtp Entry requirements At least UK equivalence Bachelors (Honours) 2:1. English Language requirement (MED/SCI
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. For information on eligibility and how to apply: http://www.uea.ac.uk/phd/mmbdtp Entry requirements At least UK equivalence Bachelors (Honours) 2:1. English Language requirement (MED/SCI equivalent: IELTS 6.5
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. For information on eligibility and how to apply: http://www.uea.ac.uk/phd/mmbdtp Entry requirements At least UK equivalence Bachelors (Honours) 2:1. English Language requirement (MED/SCI equivalent: IELTS 6.5
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International Partnering Award, offering travel and training opportunities in Brazil. For information on eligibility and how to apply: http://www.uea.ac.uk/phd/mmbdtp Entry requirements At least UK equivalence
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of short-axis MR image sequences. Training You will be based at the Vision Computing Lab within the School of Computing Sciences, which specializes in deep learning for medical image analysis and neural