Responsibilities
- Design, implement, and deliver advanced research and engineering solutions within a multi-functional team, continuously enhancing algorithms and approaches.
- Implement and evaluate cutting-edge machine learning models over healthcare data.
- Manipulate and analyse large-scale, complex medical datasets under privacy constraints.
- Clearly communicate and present development work and findings to diverse stakeholders.
Requirements
- Undergraduate degree in Computer Science, Mathematics, or a related scientific field.
- Currently pursuing an M.S. or Ph.D. in one of the relevant fields (master’s thesis internship or end-of-studies project for M.S. students).
- Work permit for full-time employment in France.
- Knowledge of Deep Learning for NLP (e.g. RNN, Transformer models).
- Proficiency in Python development with an object-oriented programming (OOP) approach.
- Hands-on experience with deep learning frameworks such as PyTorch, TensorFlow, or Jax.
- Research / software engineering experience demonstrated through internships, projects, open-source contributions, or coding competitions.
- Familiarity with Git workflows and development with best coding practices.
- Excellent communication skills in English.
- Available for 6 months.
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