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Field
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, cognitive science or a related discipline, and a keen interest in developmental research. Prior experience with experimental design, data analysis (preferably in R) or developmental populations is highly
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receive mentoring and outstanding training in modern crop genetics, genomics, data analysis, and bioinformatics. The Norwich Research Park Biosciences Doctoral Training Programme (NRPDTP) is offering fully
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interdisciplinary training in plant genomics, bioinformatics, and statistical modelling, as well as practical skills in horticulture, experimental design, and data analysis. Working in the De Vega Lab at the Earlham
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, threatening global food security. We will identify the genetic and epigenetic changes associated with prolonged sub-culture of the blast fungus using comparative genome analysis and thereby define
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to support a project that aims to create openly available computational tools for automated imaging analysis of neurodevelopmental disorders. Genetic testing has transformed our understanding
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Rising temperatures are intensifying climate-related risks in cities worldwide, with the greatest impacts often felt by marginalised communities. This PhD project investigates how nature-based
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PhD Studentship: Decoding Campylobacter pathogenesis in chickens: From colonisation to contamination
Start date 1 October 2026 Additional Funding Information This project is awarded with a 4-year Norwich Research Park Biosciences Doctoral Training Partnership PhD CASE studentship with Inspiralis Limited
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Health, Research Methods) and intent to pursue a co-designed mixed methods PhD on racism in the healthcare. Experience of conducting quantitative analysis with strong motivation to develop further through
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how long such disturbances last and, critically, how they affect local and regional flood risk. This PhD project will explore how riverbeds in large tropical systems respond to the pressures of sand
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sources compared with gas turbines, etc. The aim of this PhD research is to develop novel performance simulation capabilities to support the analysis and optimization for sCO2 power generation systems