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of protocols, data analysis pipelines, and methodologies • Work closely with researchers across materials science, chemistry, life sciences, and engineering in a highly interdisciplinary environment • Contribute
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learning-assisted optimisation of complex experimental systems • Work closely with researchers across materials science, chemistry, life sciences, and data science in a highly interdisciplinary environment
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the opportunity to contribute to the Public Science Lab, the Ethical Data Initiative (www.ethicaldatainitiative.org), the TransforM excellence cluster and the PHIL_OS project (https
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