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Postdoctoral Fellow – Deep Learning / Machine Learning
Develop deep learning methods to train graph neural networks for Quantum Mechanics data.
Beerse, Antwerp, Belgium
Junior
4 months ago
J&J Family of Companies
J&J Family of Companies is a diverse healthcare organization known for pharmaceuticals, medical devices, and consumer products.
Healthcare
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✨ About The Role
- Research and develop deep learning methods to train graph neural networks for Quantum Mechanics and other physics-informed data
- Contribute to creating comprehensive reports and scientific publications documenting research projects
- Participate in team meetings, brainstorming sessions, and collaborative projects to advance molecular predictive modeling
- Publish findings in high-level conferences and journals
- Work on a cutting-edge project that integrates quantum mechanics data with deep learning models to enhance drug discovery processes
⚡ Requirements
- Strong background in deep learning and machine learning, with a focus on applying these skills to drug discovery
- Experience with publications in high-level venues like NeurIPS, ICML, or ICLR
- Proficiency in Python, PyTorch, and other deep learning-related tools
- Ability to collaborate effectively with cross-functional teams and contribute to the development of innovative methods
- Knowledge of drug discovery processes and a passion for making an impact on healthcare through advanced computational techniques
Postdoctoral Fellow – Deep Learning / Machine Learning
Beerse, Antwerp, Belgium
Registered Nurse
About J&J Family of Companies
J&J Family of Companies is a diverse healthcare organization known for pharmaceuticals, medical devices, and consumer products.