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the James Hutton Institute. There are currently around 50 members of the department, undertaking research in bioinformatics, geoinformatics, soil science, community planning, policy options appraisal, risk
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. The candidate should have experience in tissue culture, cell biology and data analysis and a keen interest in vascular research. Experience in spatial or single-cell transcriptomics and bioinformatics or high
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. The role includes overseas travel to both partner countries as part of the research programme. We are seeking an enthusiastic and experienced researcher with expertise in genomics and bioinformatics, large
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bioinformatics. The successful candidate will join a team with a strong track record in developing computational tools and informatics infrastructure for metabolomics applications in toxicology, systems biology
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cross-disciplinary in nature, building skills in molecular biology, bioinformatics, ecological mathematical modelling, algal physiology and cultivation. We are looking for a highly self-motivated
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spectrometry would be advantageous as would experience using R and/or python code for bioinformatics data analysis of multiplex datasets. Knowledge of MATLAB, Perl, CellPhoneDB, CellChat, NicheNet, Seurat. In
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collaboration with the research team. Additionally, you will provide guidance to laboratory and biostatistical staff, assisting with project-related tasks as needed. You must hold a PhD either in Bioinformatics
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to laboratory and biostatistical staff, assisting with project-related tasks as needed. You must hold a PhD either in Bioinformatics, Statistics, Mathematics, Computer Science, or a related computational field
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be at Research Assistant Grade 6B, with payment at Grade 7 being backdated to the date of final submission of the PhD thesis. About you The successful candidates : Have a PhD in bioinformatics/single
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for small-RNA sequencing Bioinformatics analysis of small RNA sequencing data Preparing EVs for in-vitro labelling and uptake experiments High-content imaging of cellular morphology and immunochemistry