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possible co-appointment in the Department of Computer Science. The project combines theoretical and experimental approaches to develop renewable DNA computing devices that perform multiple computations in a
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theoretical and experimental approaches to develop renewable DNA computing devices that perform multiple computations in a single tube. The primary purpose is to regenerate automatically through temperature
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to develop renewable DNA computing devices that perform multiple computations in a single tube. The primary purpose is to regenerate automatically through temperature cycling and use DNA as a low-energy
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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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centre for excellence in computational molecular science. The centre occupies modern computational laboratories with access to high-performance computing facilities including graphic processing units (GPUs
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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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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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interpersonal and communication skills across wet-lab, computational and facility teams Familiarity with high performance computing environments and reproducible workflows Experience providing support for spatial
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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