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sustainable catalyst platforms. This PhD project, Data-enhanced Quantum Chemistry for Predictive Catalyst Design, aims to Develop computational approaches for the discovery of sustainable catalysts based on low
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enables the fabrication of spatially complex metal structures with features on the micron-scale. However, our capacity to intelligently design these surfaces is 2 limited, because the models that predict
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results and develop relationships using statistical methods and other analytical approaches such as finite element, and predictive techniques. Application Procedure • A 1-page cover letter, stating
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addresses of two referees • links to any relevant code repositories, preprints, media articles, blogs, or other supporting media Excellent candidates from outside of the EU will also be considered
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referees • links to any relevant code repositories, preprints, media articles, blogs, or other supporting media Excellent candidates from outside of the EU will also be considered. Informal inquiries
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referees • links to any relevant code repositories, preprints, media articles, blogs, or other supporting media (if applicable) Excellent candidates from outside of the EU will also be considered