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Job Description
The successful candidate will work with Dr Somabha Mukherjee on Causal Network Inference under a project on Statistical Inference for Network-Dependent Data: High-Dimensional Feature Selection & Inference in Higher Order Markov Random Fields.
The main responsibilities of the position include:
Running simulations, doing real data analysis, and proving theoretical guarantees for causal network recovery algorithms.
Qualifications
• Qualifications / Discipline: Statistics and Data Science/ Related Field Master.
• Skills: Coding with Python/R; familiarity with basic theoretical statistical tools and techniques.
• Experience: Advanced bachelor/master student
