Doctoral Researcher in Bayesian Inference Techniques

2 days ago


Stockholm, Stockholm, Sweden Karlstad University Full time
About the Project:

This project focuses on developing novel compilation techniques and probabilistic machine-learning methods that can scale up to very large problems. The goal is to design efficient and effective algorithms for solving complex computational tasks.

Key Responsibilities:
  • To develop and implement new Bayesian inference techniques and probabilistic programming languages.
  • To collaborate with other researchers and developers to integrate the developed algorithms into existing systems.

The candidate is expected to have a strong background in computer science and experience with machine learning, compilers, and programming language theory. Excellent communication and teamwork skills are also required.



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