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bosonic systems, fermion-boson models, spin-boson models, neural or threshold dynamics, or analogue/digital quantum simulation. Experience with high-performance computing, GPU acceleration, automated
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models, spin-boson models, neural or threshold dynamics, or analogue/digital quantum simulation. 3. Experience with high-performance computing, GPU acceleration, automated benchmarking or large
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together seamlessly within a single system, CHIMES² seeks to establish secure, scalable, and energy-efficient platforms for future communication and computing, delivering enhanced performance, intelligence
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contribute to the design and implementation of the self-supervised learning tasks used to pretrain models on the resulting data, and support training runs on high-performance computing resources
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understanding of high-performance computing clusters Downloading a copy of our Job Description Full details of the role and the skills, knowledge and experience required can be found in the Job
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. Expertise in multi-omics data integration and statistical modelling, applied to complex biological datasets 5. Experience working with high-performance computing (HPC) environments 6
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biomedical data. Experience of using high-performance computing. A proven ability to lead research programmes and supervise researchers. Desirable criteria Knowledge of multimodal data integration, including
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remote server-based computational workflows, including shell scripting, high-performance computing environments, and cloud-based EEG data processing. Proven ability to manage research projects
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, i.e., Git and GitHub and workflow management systems, including Nextflow or Snakemake Practical experience with a high-performance computing and Unix/Linux environments Practical experience in