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PhD Studentship: The Role of the Extracellular Matrix in Cardiomyocyte Developmental (SMITH_U24DTP1)
will be carried out at the Smith Lab at the Bob Champion Research and Education building, Norwich Medical School, University of East Anglia. This project has been shortlisted for funding by the NRPDTP
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an excellent research environment provided by Norwich Medical School and the School of Biological Sciences, and surrounding Norwich Research Park. They will also gain valuable experience through
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products that form the basis of our current medical arsenal are often difficult to synthesize, purify, or engineer. In recent years bioinformatically predicted peptide antibiotics of RiPP group (ribosomally
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these processes. To do this, the PhD student will learn in vivo techniques including animal handling, as well as isolation of samples from humans. The student will receive training in cellular biology methodologies
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-funded 4-year PhD research project supported by the UKRI Medical Research Council in microbiology and microbial bioinformatics. Our unique and comprehensive training programme empowers students to feel
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microbiome, bridging the gap between basic science and translational medicine and between laboratory research and advanced computational analyses. The student will conduct a pioneering genome-resolved census
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performance computing, pipeline development, and statistical analyses. We have extensive experience helping people to become experts at the forefront of cancer, biology, and data science. A training programme
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these structures in vitro and in 3D skin models. This 4-year MRC MMB DTP project employs a diverse mixture of techniques spanning biophysics, molecular microbiology, high-resolution fluorescence microscopy, medical
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to undertake a fully-funded 4-year PhD research project supported by the UKRI Medical Research Council in microbiology and microbial bioinformatics. Our unique and comprehensive training programme empowers
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Dr Gemma Langridge (Quadram Institute) and use a combination of genetic engineering, genomics, transcriptomics, Hi-C and chromosome structural modelling to determine the interaction between chromosome