Causal Machine Learning Researcher
vor 3 Wochen
We are seeking a highly skilled researcher to join our team and contribute to the development of causal machine learning methods.
The ideal candidate will have a strong background in computer science, mathematics, or a related field, and experience with programming languages such as Python.
The researcher will be responsible for benchmarking existing causal inference methods, developing new methods, and evaluating their performance using application-driven metrics.
This is an excellent opportunity to work on a challenging project and contribute to the advancement of causal machine learning.
Key Responsibilities:
- Benchmarking existing causal inference methods
- Developing new causal inference methods
- Evaluating method performance using application-driven metrics
Requirements:
- Master's degree in Computer Science, Mathematics, or a related field
- Strong programming skills in Python
- Solid mathematical skills
- Knowledge of Graphical Models is a plus
What We Offer:
- A dynamic and collaborative work environment
- The opportunity to work on a challenging project
- Professional development and growth opportunities
How to Apply:
Please submit your CV, transcript of records, and any other relevant documents. We look forward to hearing from you.
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