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be hosted in the Faculty of Life Sciences & Medicine Hub for Applied Bioinformatics. This post is jointly funded by the Borne Foundation (50%) and King’s Health Partner’s Centre for Translational
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the Faculty of Life Sciences & Medicine Hub for Applied Bioinformatics. This post is jointly funded by the Borne Foundation (50%) and King’s Health Partner’s Centre for Translational Medicine (CTM) (50
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the Faculty of Life Sciences & Medicine Hub for Applied Bioinformatics. This post is jointly funded by the Borne Foundation (50%) and King’s Health Partner’s Centre for Translational Medicine (CTM) (50
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About the Role Applications are sought for a Postdoctoral Research Assistant to undertake research investigations in collaboration with and under the supervision of Dr Özgen Deniz to realise the objectives and development of the research programme on the Oncogenic and Immunogenic Roles of...
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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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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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You You will have a BSc in Bioinformatics or related discipline, or the equivalent in professional qualifications and experience. You are required to have extensive research experience in Biosciences
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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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animal tolerance to liver fluke infection. A range of omics tools are to be used to assess the impact on the sheep host. The PDRA will be focussed on the bioinformatic analyses of these `omics¿ datasets
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animal tolerance to liver fluke infection. A range of omics tools are to be used to assess the impact on the sheep host. The PDRA will be focussed on the bioinformatic analyses of these ‘omics’ datasets