Postdoc position closed

index.markdown

@@ -15,7 +15,7 @@ We are an academic group at [Imperial College London](http://www.imperial.ac.uk)
 
 # Open Positions
 
-* We have a new postdoctoral opening from October 2024 in the area of materials informatics for renewable energy applications, involving aspects of computational chemistry, physics and machine learning. For more information and application details see [here](https://www.imperial.ac.uk/jobs/search-jobs/description/index.php?jobId=18412&jobTitle=Research+Associate+in+Materials+Informatics++).
+* Get in touch if you would like to host a [Marie Curie Fellowship](https://marie-sklodowska-curie-actions.ec.europa.eu/news/msca-opens-eu417-million-call-for-postdoctoral-fellowships) with us.
 
 # Research Themes
 

papers.markdown

@@ -20,11 +20,11 @@ permalink: /papers/
 * "Upper efficiency limit of Sb<sub>2</sub>Se<sub>3</sub> solar cells" [arXiv (2024)](https://arxiv.org/abs/2402.04434)
 * "Machine-learning structural reconstructions for accelerated point defect calculations" [arXiv (2024)](https://arxiv.org/abs/2401.12127)
 * "Factors enabling delocalized charge-carriers in pnictogen-based solar absorbers: In-depth investigation into CuSbSe<sub>2</sub>" [arXiv (2024)](https://arxiv.org/abs/2401.02257)
-* "Race to the bottom: Bayesian optimisation for chemical problems" [ChemRxiv (2023)](https://chemrxiv.org/engage/chemrxiv/article-details/656dfe74cf8b3c3cd7c611a5)
 * "Roadmap on photovoltaic absorber materials for sustainable energy conversion" [arXiv (2023)](https://arxiv.org/abs/2310.19430)
 * "What information is necessary and sufficient to predict materials properties using machine learning?" [arXiv (2022)](https://arxiv.org/abs/2206.04968)
 
 # 2024
+0. "Race to the bottom: Bayesian optimisation for chemical problems" [Digital Discovery (2023)](https://pubs.rsc.org/en/content/articlelanding/2024/dd/d3dd00234a)
 0. "Mapping inorganic crystal chemical space" [Faraday Discussions (2024)](https://pubs.rsc.org/en/content/articlelanding/2024/fd/d4fd00063c)
 0. "doped: Python toolkit for robust and repeatable charged defect supercell calculations" [Journal of Open Source Software (2024)](https://joss.theoj.org/papers/10.21105/joss.06433)
 0. "Multi-objective quality-diversity for crystal structure prediction" [Genetic and Evolutionary Computation Conference (2024)](https://arxiv.org/abs/2403.17164)