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Field
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either bioinformatics, computational biology, or a related a biological + computing domain. A2. Experience of transcriptomic and epigenomic (ChIP seq, Cut & Tag, ATAC seq) data analysis and knowledge
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microbiology molecular approaches (quantitative and ‘omics’ approaches), bench scale reactors operation, experimental planning and data analysis including bioinformatics, is desirable. The successful candidate
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computational chemistry or biology, cheminformatics, bioinformatics, physics, chemistry or related fields. You will have experience in antibody, protein or small molecule informatics and structural analysis, and
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birth research Holds a current Home office personal licence Experience in using statistical tools for bioinformatic analyses Downloading a copy of our Job Description Full details of the role and the
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approaches (quantitative and ‘omics’ approaches), bench scale reactors operation, experimental planning and data analysis including bioinformatics, is desirable. The successful candidate will be expected
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analysis) and tumour cell injection (Desirable) Experience of using bioinformatics software and methodologies to analyze multi-omic and therapeutic datasets (e.g. R statistical environment) (Desirable
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the role holder will have input into equipment purchasing and development of the Facility. Knowledge of archaeological science (aDNA sample extraction, analysis or bioinformatics, incremental sampling
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communication skills. Desirable Criteria Experience Strong publication record in peer-reviewed journals, commensurate with stage of career. Experience in bioinformatics and high-throughput sequencing data
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communication skills. Desirable Criteria Experience Strong publication record in peer-reviewed journals, commensurate with stage of career. Experience in bioinformatics and high-throughput sequencing data
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running in nanoflow for untargeted peptidomics and proteomics analyses. This system is used to generate proteomics and peptidomics datasets that are searched with the PEAKS Bioinformatics software package