
Research Scientist in Scalable Probabilistic Machine Learning
1 day ago
Karlstad University invites applications for a research scientist position focused on fundamental research combining probabilistic machine learning and compilers.
The successful candidate will work on methods for finding compilation techniques and novel probabilistic machine-learning methods that scale up to very large problems. The focus is on Bayesian inference techniques and how to design probabilistic programming languages, both for usability and performance.
Required Skills and Qualifications:- Excellent knowledge of computer science, including experience in machine learning, compilers, algorithms, or programming language theory.
- Ability to independently pursue research work and collaborate with others.
We are looking for a highly motivated individual with a strong academic background in computer science. The ideal candidate should have a professional approach, excellent analytical skills, and the ability to work with complex issues.
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Stockholm, Stockholm, Sweden KTH Royal Institute of Technology Full timeAbout the PositionWe are seeking a highly skilled researcher to join our team as a Doctoral Student in Scalable Probabilistic Machine Learning and Compilers.The successful candidate will contribute to the development of innovative methods for probabilistic machine learning and compilers, with a focus on scalability and performance.This position offers an...
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Stockholm, Stockholm, Sweden Karlstad University Full timeJob Description">">KTH Royal Institute of Technology seeks a PhD candidate to conduct research in scalable probabilistic machine learning and compilers. The position focuses on developing novel methods for compilation techniques and probabilistic machine-learning methods that can handle large problems, particularly in phylogenetic applications. Bayesian...
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Stockholm, Stockholm, Sweden Karlstad University Full timeAt KTH Royal Institute of Technology, we are seeking a highly motivated researcher to join our team. The successful candidate will focus on fundamental research combining probabilistic machine learning and compilers. Our team explores novel methods for finding compilation techniques and designing probabilistic programming languages.Key...
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