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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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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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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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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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, 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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and with experimental partners in the project consortium led by AINIA research centre in Spain. The postholder will have access to state-of-the-art high-performance computing (HPC) resources and will
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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
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consortium led by AINIA research centre in Spain. The postholder will have access to state-of-the-art high-performance computing (HPC) resources and will work alongside experts in both computational and
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consortium led by AINIA research centre in Spain. The postholder will have access to state-of-the-art high-performance computing (HPC) resources and will work alongside experts in both computational and
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from biobank studies (e.g., UK Biobank, China Kadoorie Biobank) and a familiarity with command-line environments, high-performance computing (HPC) environments and pipeline execution on compute clusters