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Experience in quantitative analysis of Magnetic Resonance Imaging/Spectroscopy Ideally, experience and knowledge of paediatric brain tumour diagnosis and tumour biology Experience of using and developing
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of laboratory infrastructure, including procurement of reagents and equipment, managing incoming scientists and clinicians, performing experiments using molecular biology, virology, cell culture and immunological
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population genetics, bioinformatics, computational biology, statistics or probabilistic machine learning and computer science. Experience of working with large genotyping or sequencing data sets A proven
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these advanced biotechnological and engineering biology approaches, the interdisciplinary centre aims to drive the replacement of petrochemical feedstocks and significantly improve the sustainability in industries
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microscopy and image analysis tools (ImageJ) Experience in working with clinical samples Expertise in bacterial cell culture and infection models Experience using advanced spatial biology analysis tools
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methods for use across developmental biology and more widely. Current activity involves work on the following aspects: development of new techniques for assessing and modelling the states and dynamics
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about to submit) a PhD in Physics, Mathematics, Computer Science or related discipline in the Physical Sciences. No prior knowledge of biology is required but willingness to work at the interface
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oxygen-sensing in plants though the N-degron pathway of targeted proteolysis (eg. Gibbs et al Nature 2011, Abbas et al Current Biology 2015, Abbas et al Nature 2022). Applicants must have, or expect
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of Microbiology & Infection who specialise in fungal biology and drug resistance. The candidate should demonstrate a good understanding of immunology and medical microbiology, and have excellent communication
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CRISPR-CAS9 gene editing using rodent malaria parasites, cutting edge cell biology, phosphorylation assay and phosphor-proteomics. Candidates must hold a PhD, (awarded or pending) or equivalent in a