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Law, CRCF). It will develop AI tools to map and predict soil health across space and time, accelerate literature reviews, extract best management practices from long-term experiments, and design methods
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analysis methods for realistic CO2 electrocatalysis, with a focus on parallel investigations and accelerated aging. Dissect degradation processes of CO2 electroreduction catalyst, electrodes, and ionomer
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advances into programmable cellular implant prototypes Projects will be highly interdisciplinary, fostering close collaboration with molecular biologists, bioengineers, and clinical researchers to accelerate
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, bioengineers, and clinical researchers to accelerate translation into clinically relevant therapies Profile We are seeking highly motivated applicants eager to bridge basic and translational research in cell
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, CRCF). It will develop AI tools to map and predict soil health across space and time, accelerate literature reviews, extract best management practices from long-term experiments, and design methods
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multiphase flows Your tasks Develop and extend the in-house GPU-accelerated multiphase Lattice Boltzmann (LBM) code for DNS-grade boiling multiphase flow related to nuclear reactor operation, including bubble
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assessment under application-relevant conditions for separation technologies, this project aims to accelerate the identification of novel materials for CO2 capture Specifically, this PhD project combines
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the data. Job description This PhD project focuses on developing learning-based strategies for accelerated data acquisition, physics-informed image reconstruction, and quantitative inference
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conclude on December 31st 2029. The goal of this research effort is to apply machine learning (ML) techniques, in particular (equivariant) graph neural networks to accelerate the creation of all physical