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lab https://sites.google.com/sheffield.ac.uk/lahirilab/) with structural bioinformatics (Chaudhuri lab, https://www.sheffield.ac.uk/biosciences/people/academic-staff/roy-chaudhuri) and plant genetics
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A search for pharmacological inhibitors of a cancer-associated adhesion GPCR in the zebrafish embryo
are seeking a motivated student with interests in developmental biology, disease modelling and drug discovery. This interdisciplinary project combines both wet bench work and computational work (bioinformatics
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sequencing and SNP detection. The student will join a vibrant microbiology group in Sheffield and receive a broad training in molecular and microbiology as well as imaging and bioinformatics. Academically
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to bacterial infection using qPCR, and potentially also RNAseq and computational bioinformatics. You will be integrated within a broader network of dynamic, enthusiastic researchers using zebrafish infection
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and bioinformatic tools to analyse/interpret data. Effective communication: The interdisciplinary character of the project requires effective written and oral communication skills to collaborate across
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-electron microscopy (cryo-EM), X-ray crystallography and Nuclear Magnetic Resonance (NMR) spectroscopy. Areas such as atomic force and light microscopy, mass spectrometry bioinformatics and ohmics are all
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applications (Assessed at interview stage) Basic bioinformatic skills sufficient to enable molecular experimental design and initial analysis, such as sequence alignment and primer/probe design (Assessed
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- both in terms of their ontology and their altered function. You will identify additional candidates and interactors/downstream regulators via bioinformatic approaches. You will use the fly as a high
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microbiology, bioinformatics, recombinant technology, protein purification, microscopy and other molecular techniques. You will join a vibrant lab with an excellent track record of supervision and PhD student
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must have a first or upper second-class honours degree (in a relevant subject) or research experience. ● Experience in histology, bioinformatics or molecular/cell biology are desirable