69 multiple-sequence-alignment positions at University of Cambridge in United Kingdom
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death. Vibrio natriegens is one of the fastest-growing organisms ever known, as it can double in about 10 minutes. That said, if we look simply at its protein sequences, it is more than 97% similar
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and diagnosis of common and rare diseases, using multi-omics and/or long read sequencing approaches. Responsibilities include optimizing data workflows, ensuring data quality, and supporting lead
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Nanopore sequencing, ChIP-seq, and Hi-C, to probe plant genomes and centromeres. The project will involve both wet-lab based functional genomics approaches, together with dry-lab based bioinformatics
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for personalised breast cancer treatments. Analyse data from cutting-edge technologies (e.g. matched tumour-normal whole genome sequencing, bulk and single-cell RNA sequencing of the tumour microenvironment, spatial
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RNA or ribosome-associated structures. Computational and Bioinformatic Analysis Handling and interpreting large datasets, sequence conservation, RNA structure modelling, and more. You will be supported
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Assistants is £32,546 - £35,116 and for Research Associates this is £37,174 - £45,413 per annum. Suitable candidates should have previous experience of genetic analysis of large scale genome sequence data and
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a city in an unstable environment at the centre of the Indian Ocean, in which arose a diverse society, generating an abundance of cultural production and a sequence of violent politics. We are looking
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. This post will involve the use of cutting edge biochemical, proteomic, next generation sequencing and ribosome foot printing technologies. This position is available for an immediate appointment. Candidates
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. Our interdisciplinary lab innovates and applies new methods involving sequencing technologies, genome-targeting and chemical biology. The ideal candidate will have a capacity for innovation, initiative
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ability to lead diverse but complementary projects to completion is essential. Experience in in vivo experimentation with rodents, RNA sequencing (or other high-throughput technologies), bioinformatic