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biological molecules, including volatiles in human breath. While in parallel, pioneering novel methods that integrate synthetic and living tissues into structures for organ repair. All the research will be
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-based assays within integrated workflows. Experience quantifying and mitigating chemical carryover, inhibitory species, or cross-contamination in complex, multi-stage processing systems. Familiarity with
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analyses in support of research priorities of the institute, as well as collaborating with researchers across EIT. Furthermore, the post-holder will ensure the smooth and efficient operation of mass
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data and pipeline infrastructure, including versioning, deployment processes, and compatibility across compute environments. Oversee the design and development of scalable nextflow pipelines
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Responsibilities Establish and manage a centralised sequencing workflow for the Applications Team Develop systems and processes for: Sample submission and receipt Sample and sequencing run tracking Sequencing
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approaches to process and build new materials, and to better understand how enzymes work. How to apply Applications will be reviewed on a rolling basis. In your cover letter, please clearly explain your fit
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for defining data standards, data models and best practices to ensure the integrity, security, and accessibility of our data assets. Additionally, you'll play a key role in optimising data processes and
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rapid, targeted gene evolution while preserving host viability, enabling us to study fundamental evolutionary processes and develop new molecular solutions for problems in the areas of health and
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bioinformatics, AI/ML, data processing, and simulation workflows. Contribute to safe rollout and maintenance processes for Slurm images, worker node pools, scheduler configuration, container runtime changes
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of applications, the review and decision process may take 3–6 months. Key Responsibilities for all Research Assistants: Assist in scientific studies and experiments by collecting and analysing data under