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skills and knowledge of computer programming such as Unix, Python and R Previous experience with multi-omics and their integration Deep technical understanding of bioinformatics analysis approaches and
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for a Research Fellow in Bioinformatics/Computational Biology to help develop, coordinate, and conduct robust analysis of high-throughput host protein data under supervision using advanced analytical and
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the Medical Research Council. The Research Fellow will be using Natural Language Processing (NLP) methods, with a special focus on generative Large Language Models (LLMs), to interrogate a very large sample of
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engineering, statistics, and bioinformatics. The successful candidate will join a team with a strong track record in developing computational tools and informatics infrastructure for metabolomics applications
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regarding the application process, please contact the Institute of Neurology HR Team (ion.hradmin at ucl.ac.uk). Informal enquiries regarding the role can be addressed to Professor Andrea Malaspina
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these two processes. The postholder will exploit a series of single-cell and spatial transcriptomics datasets of glioblastoma initiation and recurrence generated by the team to dissect the cell-intrinsic and
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, and improve linkages between atmospheric chemistry and public health research. The position is part-time and will require close interaction with parallel research activities at the University
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including next-generation sequencing, bioinformatic analysis (R and/or python), mammalian cell culture. The post holder will be comfortable working both independently and in a collaborative environment. What
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bioinformatics analysis and Drosophila work would be desirable but not necessary. This position will be supervised by Prof Hansong Ma in the School of Biosciences at the University of Birmingham. Main Duties
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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