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workflows. •Operation and monitoring of LC-MS/MS and LC-HRMS instrumentation. •Routine quality control and assessment of analytical performance. •Documentation of laboratory work and analytical results
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sequencing data quality control within an interdisciplinary setting. This project is particularly suited to candidates with a strong interest in experimental method development and optimisation
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of reproducible code through code sharing platforms, version control, workflow languages and container solutions. Documented ability of responsible and legally compliant adoption of machine learning/AI methods
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