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tracking analysis (NTA), NanoFlow cytometry, and advanced imaging techniques, as well as bioinformatic analysis of small RNAs and transcriptomic data. You will collaborate closely with partners working
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receipt, and maintains data delivery logs. Supports beta testing of data ingestion tools and provides structured feedback to development partners; maintains clear, reproducible documentation so pipeline
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bioinformatics analysis pipelines for processing RNA-seq, single-cell RNA-seq, genomics and proteomics data. Develop novel algorithms and integrated data visualization applications when existing software packages
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methods of basic biomolecular research with analysis methods of bioinformatics and analytical high-performance technologies to investigate the complex interplay between the human organism and food
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to translate fundamental discoveries into sustainable agricultural applications and to enhance the climate resilience of crops. This PhD position will be embedded in the Bioinformatics and Evolutionary Genomics
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al. Nature Genetics 2020, Costea et al. and Schoeberl et al., Mol Cell 2023, Mol Cell 2025). For a list of ongoing projects and publications, please visit: https://www.kcl.ac.uk/research/pavri-group
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biology, are encouraged to apply. Experience with protein expression and protein purification/isolation are required. Bioinformatics and structural modelling are also desirable. Additional qualifications
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chemical screens, single cell and spatial transcriptomics, proteomics, lipidomics, genomics, optogenetics and histology. Among the key duties of this position are the following: Undertake bioinformatics
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transcription, RNA biochemistry, protein-RNA interaction, protein-protein interaction, and/or bioinformatics analysis of transcriptomics data is required. The successful candidate will explore fundamental
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