The AMD section is a leading group combining atomic- and multiscale modeling techniques, machine learning methods, and self-driving laboratories to accelerate the discovery of novel materials for energy conversion and storage. The fellowship is part of the large-scale and long-term Pioneer Center for Accelerating P2X Materials Discovery (CAPeX). CAPeX is a 13-year and 300 MDKK “Pioneer Center for Accelerating P2X Materials Discovery”, funded by the Danish Ministry of Higher Education and Science, the Danish National Research Foundation, the Carlsberg Foundation, the Lundbeck Foundation, the Novo Nordisk Foundation, the Villum Foundation. CAPeX is hosted by the Technical University of Denmark (DTU) and co-hosted by Aalborg University (AAU) and unites leading experts from DTU, AAU, University of Copenhagen, Aarhus University, and the University of Southern Denmark with international partners from Stanford University, Utrecht University, and the University of Toronto to form a truly Pioneering Center on P2X. You can read more about our organization’s CAPeX research themes and X-trails at www.capex-p2x.com
Requirements:
Candidates should hold a PhD or equivalent degree in computational chemistry, physics, materials, or computer science. The candidates must have a strong background in computational methods like density functional theory and/or machine learning and sufficient Python programming skills to implement new methods/models needed for the project. You are expected to have performed original scientific research within the relevant fields listed above. Moreover, you
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Postdoc in Deep Learning Surrogate Models for Multiscale Simulation of Electrocatalytic Interfaces for P2X The AMD section is a leading group combining atomic- and multiscale modeling techniques, machine learning methods, and self-driving laboratories to accelerate the discovery of novel materials for energy conversion and storage. The fellowship is part of the large-scale and long-term Pioneer Center for Accelerating P2X Materials Discovery (CAPeX). CAPeX is a 13-year and 300 MDKK “Pioneer Center for Accelerating P2X Materials Discovery”, funded by the Danish Ministry of Higher Education and Science, the Danish National Research Foundation, the Carlsberg Foundation, the Lundbeck Foundation, the Novo Nordisk Foundation, the Villum Foundation. CAPeX is hosted by the Technical University of Denmark (DTU) and co-hosted by Aalborg University (AAU) and unites leading experts from DTU, AAU, University of Copenhagen, Aarhus University, and the University of Southern Denmark with international partners from Stanford University, Utrecht University, and the University of Toronto to form a truly Pioneering Center on P2X. You can read more about our organization’s CAPeX research themes and X-trails at www.capex-p2x.com Candidates should hold a PhD or equivalent degree in computational chemistry, physics, materials, or computer science. The candidates must have a strong background in computational methods like density functional theory and/or machine learning and sufficient Python programming skills to implement new methods/models needed for the project. You are expected to have performed original scientific research within the relevant fields listed above. Moreover, you:
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