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have the necessary experience and skills to contribute to the research project by applying Drosophila genetics, genome editing, molecular biology, microscopy and bioinformatics to identify and test
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with advanced bioinformatics and AIdriven analysis. You will work alongside molecular biologists, pathologists, and data scientists to generate and analyse multimodal datasets that uncover new prognostic
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or cardiovascular biology, paired with hands-on experience in omics methodologies and bioinformatics analysis. Your academic credentials will be complemented by a demonstrable ability to work independently as
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experienced in transcriptome bioinformatics and molecular genetics, including RNA extraction, PCR, DNA cloning, genomic sequence analysis, in situ hybridisation etc. Expertise in hypothalamic neurobiology
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trypanosome survival in vivo. The post will support exciting projects using host infections, quantitative ‘omics, molecular cell biology and bioinformatic approaches. This is a full time post (36.25 hours
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expected to be bioinformatic in nature. Applicants must have a PhD in a relevant subject, experience of macrosynteny analysis and phylogenetic analysis of gene families, and a thorough knowledge of animal
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data in collaboration with bioinformatics experts to assess library quality and performance. vii. Contribute to regular project meetings, reporting progress, troubleshooting technical challenges, and
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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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will include comparisons from within the Fungi to comparisons stretching back to the last universal common ancestor. You must be able to conduct a range of bioinformatic approaches involving the use
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Medicine, Statistical Genetics, Bioinformatics, Computational Biology, or a related quantitative discipline. You will also demonstrate a proficiency in statistical programming using R and/or Python, with