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large-scale functional genomic datasets and cutting-edge computational resources, including university HPC clusters and AWS. The position requires a PhD in a relevant field, strong bioinformatics and
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with the ability to meet deadlines and produce publishable research. Experience with deep learning applications in seismology, using high performance computing (HPC) environments, field experience with
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of therapeutic genomics, leveraging large-scale functional genomic datasets and cutting-edge computational resources, including university HPC clusters and AWS. The post-holder will advise colleagues on data
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of scientific results and be well versed in data handling and linux/unix based high performance computing environments (HPC computing). The candidate must have good oral and written command of English. What we
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unique opportunity to work at the forefront of therapeutic genomics, leveraging large-scale functional genomic datasets and cutting-edge computational resources, including university HPC clusters and AWS
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dynamics simulations, and some familiarity with quantum mechanics calculations. Proven high-performance computing (HPC) experience and proficiency in Python are essential for success in this role. You will
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on an HPC system or in the commercial computing cloud For further information about this position please contact nternette001@dundee.ac.uk . To find out more about the Group please visit https
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dynamics of biological systems, as well as coarse-grained molecular dynamics simulations, and some familiarity with quantum mechanics calculations. Proven high-performance computing (HPC) experience and
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, MRtrix, ANTs, or equivalent, and programming or scripting in Python, R, or bash/zsh on Linux/HPC environments. Experience working with clinical research data, including neuroimaging and clinical data
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or scripting in Python, R, or bash/zsh on Linux/HPC environments. Experience working with clinical research data, including neuroimaging and clinical data collection, image processing, and statistical analysis