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and structural biology, data science, and bioinformatics. The Randall Centre has a strong focus on structural biology and the determination of protein structures by X-ray crystallography and NMR
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language and familiarity with machine learning libraries (e.g., PyTorch). Experience in structural Bioinformatics, including the ability to manipulate protein sequences and structural data. Collaborative
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(or related viruses) and/or reverse genetics systems Performing and analysing nanopore-based sequencing Experience in both performing and the bioinformatic analyses of datasets from genetics/transcriptomics
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NGS. · Proven track record in a relevant subject (e.g. Bioinformatics/Computational biology/Computer Sciences/Human Genomics/Statistical Genetics) · Excellent communication and interpersonal skills
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have practical experience in a broad range of techniques including molecular biology, metabolic engineering, analytical methods and bioinformatics. You should have experience dealing with sponsors and
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translational datasets across seven interconnected work packages. The post holder will work under the leadership of Programme Lead, Dr Sheeba Irshad, and in close collaboration with bioinformatics teams
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, travel for conferences and presentations, as well as contribute to academic publications. The post holder is expected to hold a PhD degree in Bioinformatics, Computer Science or other relevant discipline
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techniques for antigen and antibody detection. A good understanding of bioinformatic and biostatistical approaches to data analysis and of TCR and antibody characterisation to be used for T cell engineering
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programme of clinical, health and bioinformatics at the South London and Maudsley (SLaM) Biomedical Research Centre (BRC) and forms a key component of both the Centre for Translational Informatics
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also provide support to bioinformatic analyses and data management. The successful candidate should have experience with analysing genomic data, be willing to work as part of a team and to be open-minded