AI Materials Scientist: Graph ML for Discovery + Equity
Cambridge
Quantum Formatics is seeking a Computational Scientist to advance an AI-accelerated materials discovery pipeline.
Quantum Formatics is seeking a Computational Scientist to advance an AI-accelerated materials discovery pipeline. You will develop graph neural networks for materials property prediction and integrate ML interatomic potentials while benchmarking against experimental data.
You will collaborate with the Lead Scientist and experimental teams, mentoring future members as the team grows, and help shape the computational platform direction.
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Cambridge
Quantum Formatics is seeking a Computational Scientist to advance an AI-accelerated materials discovery pipeline.
Cambridge
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London
Materiom's mission is to create a world where materials regenerate nature and support human health.
London
Materiom's mission is to create a world where materials regenerate nature and support human health.
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