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-molecule manipulation of different signalling pathways; CRISPR/Cas9-mediated gene targeting in 1-cell embryos), bioinformatic analysis of single-cell transcriptomic datasets and gene-expression studies using
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, Chemistry, Computational Biology, Bioinformatics, or a related field. Strong programming skills in Python, R, or similar languages. Experience with applying AI (ideally) to metabolic modeling is desired
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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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and development of the Facility. Knowledge of archaeological science (aDNA sample extraction, analysis or bioinformatics, incremental sampling for isotope analysis, ZooMS, tracewear analysis, ceramic
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closely with both, NASC's Bioinformatics and ABRC’s Seed Team, to make sure orders are completed and dispatched as soon as possible. You will also prepare seed stocks for inspection by the Department
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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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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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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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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