
Postdoctoral Fellow in Probabilistic Programming Languages
1 day ago
We are seeking a highly motivated researcher to join our team at KTH Royal Institute of Technology. The successful candidate will be involved in fundamental research combining probabilistic machine learning and compilers.
About the TeamOur team is dedicated to advancing the state-of-the-art in probabilistic machine learning and compilers. We foster a collaborative and inclusive environment that encourages creativity, innovation, and excellence.
How to ApplyTo apply for this position, please submit your application through KTH's recruitment system. Your application should include a CV, a cover letter, and any relevant supporting documents.
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Stockholm, Stockholm, Sweden KTH Royal Institute of Technology Full timeJob OverviewThis postdoctoral fellow position is available in the area of probabilistic programming languages. The successful candidate will contribute to the development of novel programming languages and their application to real-world problems.Duties and ResponsibilitiesYour primary responsibility will be to conduct original research in the area of...
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Machine Learning Postdoctoral Fellow
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Stockholm, Stockholm, Sweden MPOWIR Mentoring Physical Oceanography Women to Increase Retention Full timeJob DescriptionWe are looking for an exceptional postdoctoral fellow to join our research team at the Department of Meteorology (MISU) at Stockholm University. The successful candidate will have the opportunity to design and implement their own research project using machine learning techniques on climate-related topics.Main ResponsibilitiesConduct research...
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Stockholm, Stockholm, Sweden KTH Royal Institute of Technology Full timeJob DescriptionWe are seeking a highly motivated researcher to join our team at KTH Royal Institute of Technology. The successful candidate will be involved in fundamental research combining probabilistic machine learning and compilers.About the ProjectThe project focuses on developing novel probabilistic machine-learning methods that scale up to very large...
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