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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

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
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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.