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bioinformatics (e.g. RNA-Seq/scRNA-Seq). Main Duties and Responsibilities Perform the following activities in conjunction with and under the guidance of the Principal Investigators (PI): 1. Plan and conduct
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work will involve sophisticated bioinformatic analyses, including the application of machine learning techniques, to predict taxonomic, antibiotic resistance profiles and phenotypes from 'omic data. Your
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Bioinformatics and Computational Biology headed by Ivo Hofacker. Our team works on the development of algorithms and methods for problems in Computational Chemistry, Systems Chemistry, and Computational Biology
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process due to the constant exposure of the gut to microbes, pathogens, food, and chemicals. This process involves crosstalk between multiple immune cells, and within the epithelial layer, the communication
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submit funding applications Who we’re looking for: A PhD degree in biology/biochemistry/computer science/bioinformatics with life science exposure. Considerable programming experience demonstrating
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the Edinburgh Parallel Computing Centre), the Generative AI Lab, and the Centre for Technomoral Futures. The successful candidate will contribute to both theoretical analysis and computation experimentation (in
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including a flexible and pragmatic approach. Desirable: D1. Skills in RNA sequencing analysis, single-cell and spatial transcriptomics D2. Skills with bioinformatic analyses. For Appointments at Grade 7
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by Professor Tim Tree, at King's College London. Our team focuses on understanding the immune system's role in autoimmune and inflammatory diseases and exploring immunotherapy to treat them
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considered if you can demonstrate a willingness and an aptitude to learn, and bioinformatic and other support will be provided. Opportunities will be provided for training and support for future career
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advanced next-generation sequencing techniques. There is also a project management component. Importantly they will liaise with the tissue bank and surgical team to facilitate the collection and processing