Responsibilities
- Support the efforts of the BioAI team through the development of novel methods and applications under the guidance of our Research Engineers.
- Design and implement ML methods for proof of concept and benchmarking.
- Contribute to team research and publications.
- Report and present experimental results and research findings, both internally and externally, verbally and in writing.
- Write high-quality, maintainable, well-documented, and modular python code.
Requirements
- Currently enrolled in a Masters or PhD programme in a related STEM discipline.
- Theoretical and practical knowledge in machine learning and deep learning, including experience with a deep learning framework such as Jax, PyTorch and/or Tensorflow.
- Familiarity working with data (numpy, pandas, matplotlib, …).
- Excellent communication skills and collaborative spirit.
- Good programming skills in Python.
Beneficial
- Application of deep learning to life sciences.
- Software engineering skills (git, quality coding standards, …)
- Specific experience in any of the following domains :
- Large Language models, especially applied to biology
- Graph Neural Networks
- ML force fields and Molecular Dynamics
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