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on advanced material coating strategies. The project addresses the growing need to improve the surface properties and stability of LFP materials, especially under high-performance applications
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teams Familiarity with high performance computing environments and reproducible workflows Experience providing support for spatial transcriptomics data analysis and interpretation Desirable criteria
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this role, we are looking for candidates to have the following skills and experience: Essential criteria MSc in Genomics or related discipline Demonstrable expertise in using High-Performance Computing (HPC
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for molecular simulations Track record of method development for molecular simulations Experience of working effectively in a team Experience of working with high-performance computing * Please note that this is
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in a team Experience of working with high-performance computing * Please note that this is a PhD level role but candidates who have submitted their thesis and are awaiting award of their PhDs will be
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skills in data analysis for molecular simulations Track record of method development for molecular simulations Experience of working effectively in a team Experience of working with high-performance
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Application Deadline 9 Sep 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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Solutions, you will apply your methods in detailed simulation studies using Imperial’s high-performance computing facilities, assessing performance in realistic scenarios. You will regularly present your
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Applications are invited for a fully funded fixed-term at the Research Assistant / Associate (PostDoc) level in high performance computing for computational fluid dynamics applications. High
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integration and statistical modelling Teaching and mentorship experience Excellent interpersonal and communication skills across wet-lab, computational and facility teams Familiarity with high performance