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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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About Us We are seeking to appoint a Clinical Reader or Professor of Neonatal Medicine to replace a retiring colleague to help lead a large scale programme of neonatal research in conjunction with
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Demonstrates a proactive approach Demonstrates a commitment to a quality culture with a professional demeanour and high ethical standards. Strong computer skills (proficient with MS Word, Excel and Web-based
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and Innovation Initiatives), you will join a team leading high-profile and complex projects that that will shape the future of one of the UK’s most prestigious universities. You will be delivering
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frameworks and pipelines Familiarity with single-cell multi-omic data integration and network or pathway inference tools Experience working in high-performance computing or cloud environments Interest in
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of advanced algorithms, numerical schemes, and high-performance software for simulation of complex physical systems, including fluid, thermal, heat transfer or structural dynamics. In addition to leading
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Application Deadline 11 Nov 2025 - 00:00 (UTC) Type of Contract Permanent 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
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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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mechanics, or coupled aero-thermo-mechanical systems; c) development of advanced algorithms, numerical schemes, and high-performance software for simulation of complex physical systems, including fluid