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Field
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timely achievement of project milestones. Key Responsibilities: Provide bioinformatics analyses for large scale multi-omics datasets, including genomics, transcriptomics, proteomics, metabolomics
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on understanding and overcoming therapeutic resistance in uveal melanoma. Working alongside leading researchers, partner universities, and industry collaborators, you will leverage cutting-edge bioinformatics, AI
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laboratory work, bioinformatic processing of Next Generation Sequencing data, and population genomic analyses, including demographic inference. The purpose of the fellowship is research training leading
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& Bioinformatics Develop, implement and optimise computational pipelines for analysing large-scale whole genome, whole exome and multi-omic sequencing datasets. Analyse somatic mutations across multiple mutational
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experimental systems — from ecosystems to microbiology and developmental biology, from evolution to cell biology, from molecular biology to systems biology, bioinformatics, and genomics. It is always an exciting
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-targeted therapeutics. The project combines in vitro and in vivo tumour and blood vessel modelling, tissue histology, advanced imaging, single cell transcriptomics and bioinformatics approaches
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support from the PI, lab mates, and an interdisciplinary network of collaborators in genetics, neuroscience, psychiatry, computational biology and bioinformatics, statistics, and clinical research. Training
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Closing date: 17th September 2026 Background Applications are invited for a 2 year full-time Post Doctoral Research Fellow with bioinformatics expertise to contribute to the analysis of large datasets
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vivo experiments. Desired Qualifications* Working knowledge of basic bioinformatics analysis (e.g., RNA-seq analysis, public dataset mining, pathway analysis) is preferred. A strong collaborative mindset
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and as a team member. Excellent written and oral communication skills in English. Desirable qualifications: Experience with microscopy, transcriptomic analyses, or bioinformatics approaches. Experience