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potent anti-cancer properties. Working under Dr Stephen Robinson (Quadram Institute/UEA) and Prof Lindsay Hall (University of Birmingham), you will combine large-scale bioinformatics (genome mining
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local clinical strategies for patient care. To do this, advanced molecular, sequencing and bioinformatic tools will be utilised alongside clinical data that will provide a link between genomic and
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expertise in microbiome research, host-microbe interactions, and metabolic disease mechanisms. You will receive training in anaerobic microbiology, molecular biology, bioinformatics, and cutting-edge
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receive training in complex methodologies including transposon directed insertion-site sequencing (TRADIS) and its analysis using bioinformatics tools. This extensive training will provide you with a series
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to reveal how bacteria can be used to predict the best treatment to receive and reveal new treatment possibilities to prevent or halt aggressive cancer. This is a combined bioinformatics and lab experiment
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V236E (ε3), which reduce the risk of AD by 2–3 times. This project will use bioinformatics and big data and induced pluripotent stem cell (iPSC) models —cells generated in the lab that can mimic brain
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embedded within leading research teams with strong training and support networks, that are committed to removing barriers to participation in research. The Microbes, Microbiomes and Bioinformatics (MMB
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interest in experimental microbiology. The Microbes, Microbiomes and Bioinformatics (MMB) Doctoral Training Partnership (DTP) is open to UK and international candidates with relevant undergraduate degrees
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to mark.webber@quadram.ac.uk or alison.mather@quadram.ac.uk The Microbes, Microbiomes and Bioinformatics (MMB) Doctoral Training Partnership (DTP) is open to UK and international candidates with relevant
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Primary supervisor – Dr Falk Hildebrand We are looking for a motivated and computationally interested student, to work on a bioinformatic project on cutting-edge metagenomics and clinical