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degree in a quantitative or computational field and have strong Python skills. Experience with AI or NLP methods, including LLMs cloud platforms, containerisation, APIs, relational databases and data
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equivalent experience. High degree of computer literacy Comprehensive experience in Linux / HPC computing environments, including Slurm job scheduling systems and Nextflow, Cloud environments (ideally AWS
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integration of multiomics data. The post holder will be a bioinformatician or computational biologist with a background in Next Generation Sequencing analysis and pipeline creation. They will be responsible
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Language Models (LLMs) and NLP systems. Experience designing APIs and system architectures. Knowledge of cloud computing environments (AWS, GCP, Azure). Experience with data modelling and ETL pipelines
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cloud technology to create a global pathogen metagenomics system. This initiative aims to improve diagnostics, provide early epidemic warnings, and guide treatments by profiling antimicrobial resistance
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manages the CREATE ecosystem (Computational Research, Engineering, and Technology Environment), a suite of advanced services that includes High Performance Computing (HPC), Cloud platforms, and Trusted
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The Aston School of Computer Science and Digital Technologies is looking for two Lecturer’s in Computer Science with a specific interest in Artificial Intelligence to help reinforce its research and
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vendor-neutral cloud solutions on cutting-edge systems and high performance (AI) compute resources. You will play a key role in the project delivery by: Helping produce software prototypes as part of
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School of Computing & Mathematical Sciences Location: Greenwich and Medway Campuses Salary: £38,249 to £44,128 per annum Contract Type: Permanent Release Date: Thursday 26 March 2026 Closing Date