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use automation to accelerate materials discovery and where possible to free up researcher time. You should have a PhD in relevant field (Chemistry, Materials Science, Chemical Engineering etc
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machine learning for functional materials design. You should have a PhD in Computer Science, Chemistry, Physics, Materials Science, or a related discipline, with a commitment to developing collaborative
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opportunity to collaborate with Prof Alessandro Tagliabue (University of Liverpool), an expert on the iron cycle in the NEMO-PISCES model. The postdoctoral fellow is expected to be involved in all aspects
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