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or functions (e.g., by phages) – to optimize microbiome composition and function Improvement of our current tool for microbiome modelling Your profile Masters, Diploma or equivalent degree in Bioinformatics
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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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the knowledge graph Your profile Masters, Diploma or equivalent degree in Bioinformatics or similar, obtained by the start date Experience in programming and databases Basic biological understanding Proficiency
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connections to clinicians, patients, and European initiatives such as ERDERA. What sets us apart is our unique position at the interface of bioinformatics, clinical genetics, and patient care. This ensures
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, bioinformatics, and statistical modelling in R. You will also gain experience in critical thinking, scientific writing, and presenting your research. Transferable skills for academic and non-academic careers will
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to effectively drive biodegradation traits into contaminated soil communities. Methodology The successful applicant will use a combination of molecular and environmental microbiology, bioinformatics and
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genetic adaptations (‘genetic swamping’). Training The student will receive broad training in molecular biology, historical DNA, genomics, bioinformatics and population genetics. The student will take part
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High-in-demand technical (bioinformatics, molecular genetics, microbiology, phenotype engineering) and transferrable (critical thinking, ethics, Open Research) skills. Embedded in thriving, respectful
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identification of microbes, including metagenomics and bioinformatics. Training Training will include cultivation of soil bacteria, quantitative PCR, amplicon-based sequencing, whole genome sequencing, and
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recently awarded NERC grant). The PGR will conduct bioinformatic analyses on these data, focussing on immune genes, and perform a comparative genomic analysis across parakeets and parrots. They will