
Quantum Informatics Researcher
4 days ago
This role offers an exciting opportunity to work at the intersection of quantum computing, cheminformatics, and applied machine learning.
You will combine cutting-edge quantum algorithms with advanced machine learning techniques to develop innovative methodologies for understanding and predicting molecular and material properties.
- Conduct research and develop workflows that integrate quantum computing and ML-driven cheminformatics for molecular modeling and property prediction.
- Apply machine learning models to accelerate molecular and materials discovery in areas such as drug design, catalysis, and energy materials.
- Collaborate with experts to identify areas where quantum computing can have a significant impact in cheminformatics and materials discovery.
- Expertise in Python programming and familiarity with scientific libraries and ML frameworks.
- Develop computational workflows integrating ML and molecular modeling tools.
- Publish research findings through internal reports, peer-reviewed publications, and conference presentations.
- Familiarity with molecular modeling techniques, including quantum chemistry methods and machine learning potentials.
- Ph.D. in cheminformatics, computational chemistry or physics, chemical or materials engineering, or closely related fields, with a strong focus on ML methodologies for molecular modeling or materials discovery.
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