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We are looking for a motivated student to work on an interdisciplinary project that spans bioinformatics, microbiology and chemistry. In this 4-year PhD project, the candidate will explore and
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cutting edge microbiome modelling techniques and bioinformatics approaches the studentship will explore the impact of these novel ingredients on gut microbiome composition and function. Using the latest in
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(mammalian cell culture, lentiviral transduction, flow cytometry and FACS, Illumina sequencing and bioinformatic data analysis. You should have (or be close to completion of) a PhD in molecular/cell biology
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opportunity to train in bioinformatics with in-house mentoring. About the lab Department You will be part of the Cancer Genetics team at the Norwich Medical School which is an interdisciplinary team comprising
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liverwort M. polymorpha and to develop skills across plant pathology, land plant evolution, microbial virulence, and bioinformatics. Applications are welcomed from students across the biological sciences
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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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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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PhD Studentship: Decoding Campylobacter pathogenesis in chickens: From colonisation to contamination
and immunological techniques, confocal microscopy and bioinformatic analyses will be provided. The Norwich Research Park Biosciences Doctoral Training Programme (NRPDTP) is offering fully funded
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colon models, multiomics sequencing and bioinformatics, you will explore how ALGAFILL is processed in our gut, its effects on microbiome, metabolism, and potentially health. Culture-based molecular
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represent the research group at external seminars and conferences. To be considered, you must hold a PhD/DPhil in statistical genetics, quantitative genetics, bioinformatics, computer science, statistics