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, CRISPR genome editing, flow cytometry, next-generation sequencing, and bioinformatic data analysis (preferably in Python) would be advantageous, but an eagerness to learn and develop innovative methods is
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. Experience in cancer research, including a working understanding of computational approaches for cancer genome analysis being particularly advantageous. Strong programming skills (e.g. Bash, R, Python) and
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an associated Masters, or ideally PhD, qualification. - Experience of processing and analysing large biological datasets. - Expertise in programming using at least one of R or Python. - Experience in
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such as Bash and Python. -Domain knowledge in one or more areas from SysOps, DevOps, GitOps, OpenStack, HPC and Software Engineering. -Excellent communication skills and the ability to collaborate with
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about to obtain) a PhD in the broad area of Computational Modelling applied to geochemical or biological systems, and be comfortable working routinely in modern programming languages (e.g. Python, Julia