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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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or pathway inference tools Experience working in high-performance computing or cloud environments Interest in developing novel computational or statistical methods for muscle biology Enthusiasm for open
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high-performance computing or cloud environments Interest in developing novel computational or statistical methods for muscle biology Enthusiasm for open science — sharing code, data and reproducible
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Application Deadline 18 Nov 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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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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laboratories, high-performance computing, and industry collaboration through the London Institute for Healthcare Engineering. Funds are available for travel during the post if required. About The Role We
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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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planned work, including one of the UK’s only 7 Tesla MRI systems located inside a hospital environment, state-of-the-art engineering and physics laboratories, high-performance computing, and industry
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training of mice, in vivo two-photon imaging, viral circuit tracing, and computational analysis to study how fronto-sensory feedback microcircuits contribute to adaptive cognition. The successful applicant
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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