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of methods for tasks such as data harmonisation, phenotype representation, genomic analysis and patient or gene prioritisation. Working within research high-performance computing (HPC) environments
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-dimensional genomic datasets. Strong programming skills in Python and/or R, and experience with Linux/HPC computing environments. Experience with single-cell RNA-seq, single-nucleus RNA-seq, sc/snATAC-seq
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pipelines in R, Python and HPC or cloud environments. Collaborate with developmental biologists to interpret genomic findings, validate results and address key evolutionary questions. Support and mentor PhD
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to be able to move toward computational devices (HPC-simulations, and Synchrotron, MOKE and MFM experiments) based on nanomagnetic metamaterials. Intermediate the research focus is toward basic
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environment within the School of Biological Sciences, working alongside a growing computational genomics community at Southampton. You will have access to IRIDIS HPC, with support from RSEs, and also
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background in cancer biology and genomics research. · Experience working with high-performance computing (HPC) environments and version control systems such as Git. · Excellent written and verbal
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Oden Institute for Computational Engineering and Sciences | Austin, Texas | United States | 2 months ago
structure adjustment). Strong programming skills (e.g., Python, R) and experience working in Linux/HPC or cloud computing environments. Evidence of scholarly productivity (publications or substantial research
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cloud platforms for compute and storage. Version Control & CI/CD: Git, automated testing, deployment workflows. Experience with Linux systems, HPC, and distributed computing environments. Knowledge