Data Science & AI Innovation Postdoctoral Fellow in Machine Learning for Chemical Synthesis and Reactivity Prediction
Basel (City), Switzerland
CHF 122K-227K (estimate) Mid-level Full Time
Tasks
- Analyze chemical reaction datasets
- Benchmark AI approaches for synthesis prediction
- Collaborate with medicinal chemists and automation experts
- Develop machine learning models for reaction prediction
- Enable substrate scope exploration
- Evaluate machine learning model performance
- Integrate prediction models into generative chemistry workflows
- Investigate pre training strategies for chemistry datasets
- Optimize reaction conditions with predictive models
- Present and publish research findings
Perks/Benefits
- Access to advanced research technologies
- Collaborative multidisciplinary environment
- International scientific network
- Postdoc practicum
- Presentation opportunities
- Professional development
- Publication opportunities
Skills/Tech-stack
Cheminformatics | Data Analysis | Data Preprocessing | Deep learning | Foundation Models | Generative AI | Graph Neural Network | Graph Neural Networks | Language Models | Large Language Models | Machine Learning | Molecular Modeling | Neural Network | Neural Networks | Python | Relational databases | Statistical modeling | Transformers
Education
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