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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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(where possible) in BioModels and other repositories Generation of synthetic data to represent rare disease patients that can be shared You have A PhD in bioinformatics, physics, or a related data
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Fixed-term until 30th September 2029 Full-time: 35 hours per week The Opportunity: The BHF Centre of Research Excellence in Edinburgh is funded by a five-year award from the British Heart Foundation to accelerate our science. By collaborating across disciplines and institutions, we will deliver...
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Senior Research Fellow Bioinformatics Extrachromosomal DNA and tumour evolution Scientist The 2007 opening of the Cancer Institute in the Paul O'Gorman Building heralded a new era in cancer research
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Research Fellow - Bioinformatics - Cancer Genome Metabolism and Proteomics Scientist The 2007 opening of the Cancer Institute in the Paul O'Gorman Building heralded a new era in cancer research and
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Sciences sector here in NI, mapping and collaborating with other clusters in UK and Ireland. The post holder will develop bioinformatics tools, workflows, and cloud-based infrastructure to support genomics
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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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equivalent research experience in bioinformatics or computational biology, and a strong track record in the analysis of single cell datasets from human tumours, as evidenced by peer-reviewed publications in
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of biological sciences and/or bioinformatics. Experience in bioinformatic analyses of complex datasets. and/or Experience of in vitro cell culture & Experience in various techniques such as RNA extraction
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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