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”). The successful candidate will work specifically on the analysis of large-scale -omic data from humans and experimental ageing models. The postholder will employ a range of computational approaches to analyse and
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proficiency with protein purification and biophysical characterization. • Experience with structure determination of proteins. • Experience with analysis and interpretation of protein structures
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from the application and at the interview): Essential: Proven experience in single-cell omics data analysis and visualisation Proficiency in Python and/or R Experience with statistical analysis, machine
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Overall purpose: To work within the group of Dr Marco Tripodi at the MRC Laboratory of Molecular Biology (LMB). Specifically, to design and develop novel pipelines for the acquisition and analysis
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reasonable time when on-call/call out. Desirable: • Experience of completing risk assessments for work activities. • Formal training/qualifications relating to steam boilers, including analysis of steam
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, particularly as relevant to the design and interpretation of single-molecule biophysical experiments Proficiency in data analysis from biochemical or biophysical experiments Knowledge of assay development
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as relevant to the design and interpretation of single-molecule biophysical experiments Proficiency in data analysis from biochemical or biophysical experiments Knowledge of assay development for small
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expertise: Experience of and ability to perform techniques relevant to the project. Particularly useful would be significant experience of in vitro evolution, Illumina sequencing and data analysis, RNA
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their welfare needs To be involved in data analysis and data quality checks To work on troubleshooting and on the set-up of new devices and procedures To keep online records To be responsible for some devices
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useful would be experience of some of the following: Generation and analysis of in vivo mouse models of cancer and infection; Neuronal tracing in in vivo models In vivo optogenetics or chemogenetics models