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in screening informatics, biological data analysis, and drug discovery workflows to support the development and delivery of screening and pharmacology programmes within the ARUK UCL Drug Discovery
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be with UCL colleagues, you will be expected to develop positive working relationships with ICGNMD researchers across the UK and internationally, therefore strong communication and data reporting
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, including maintenance, optimisation, and scale is essential. Experience with single-cell data analysis will also be essential. Experience with liquid handling robotics would also be beneficial. The candidate
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community of over 500 staff and more than 300 PhD students engaged in cutting-edge research and collaboration. Further information can be found on our website https://www.ucl.ac.uk/biosciences This is an
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systems, their implementations and data analysis methodologies. Practical experience of deploying IP cores on FPGA systems is essential. A track record of publications in leading journals / conferences is
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data is essential. Experience in geometric morphometrics and/or finite element analysis is desirable. The UCL Ways of Working supports colleagues to be successful and happy at UCL through sharing
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understanding of human genetics. Knowledge of DNA and RNA sequencing analysis, of programming languages such as R, Python, or Bash script, and of bioinformatics pipelines for genomic data analysis is essential
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referred journals* Experience in advanced genomic sequencing and data analysis Experience in spatial transcriptomic data analysis Minimum criteria* About us The Francis Crick Institute is a biomedical
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analyse large scale job application data from employers using quantitative methods. Findings from the analysis will be written up in a project report, separate reports to employers, and in academic journal
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to interpret genetic data is desirable, as is, knowledge of protocols for human tissue analysis by long read DNA analysis and RNA transcriptome analysis. This role meets the eligibility requirements for a