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as a Research Associate upon successful completion of his/her PhD. Relevant experience in RNA molecular biology is essential. Knowledge of biochemistry, bioinformatics and handling biosafety level 2
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bioinformatic and statistical component to the project. Candidate Candidates should have(or be close to finishing) a PhD in genomics, quantitative biology, physics or mathematics, an excellent research record and
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verbal), with team-working skills. Experience in in vivo pre-clinical studies and expertise in bioinformatic analysis of single-cell data would be of strongly favoured. Candidates must have a track record
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: Essential: PhD in immunology, molecular or cellular biology or in the final stages of PhD submission Experience with organoids and/or iPSCs Experience with bioinformatics Experience in molecular biology
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, IF microscopy, and cell culture Molecular biological techniques (i.e. cloning, viral vector design/production, genome editing strategies) Bioinformatic analysis (i.e. experimental design of bulk or single cell
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, led by Dr Susanne Bornelöv, which studies the role of codon usage bias in gene regulation using various approaches including machine learning and AI, evolutionary genomics, and sequencing bioinformatics
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, biochemical, cell biological, and CRISPR/Cas9 tools combined with bioinformatic analyses, to understand HUSH activity. The work will be undertaken in the Cambridge Institute of Therapeutic Immunology and