PhD Researcher in Scalable Probabilistic Machine Learning

Job Description: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...

Job 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...

About 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...

At 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...

Research FocusThis PhD position is focused on the intersection of probabilistic machine learning and compilers.The successful candidate will develop novel methods for finding compilation techniques and scaling up Bayesian inference techniques, with a focus on usability and performance.This research will contribute to the advancement of machine learning and...

We are looking for a highly skilled doctoral fellow to join our team at KTH Royal Institute of Technology. As a doctoral fellow, you will conduct research in scalable probabilistic computing, focusing on developing novel methods for efficient computation and storage of large-scale data sets.Key ResponsibilitiesDesign and implement new probabilistic...

About the RoleWe are seeking a postdoctoral fellow to work on probabilistic programming languages for scalable probabilistic machine learning.Key ResponsibilitiesDesign and develop probabilistic programming languages for usability and performance.Collaborate with the research team to explore new ideas and methods.The ideal candidate will have a strong...

Job DescriptionThe KTH Royal Institute of Technology is seeking a highly motivated researcher to join our team as a Doctoral Student in Scalable Probabilistic Machine Learning and Compilers.This position focuses on fundamental research combining probabilistic machine learning and compilers, with a specific emphasis on developing novel methods for finding...

About the ProjectWe are seeking a research scientist to work on compiler technology for scalable probabilistic machine learning.Key ResponsibilitiesDesign and develop novel compiler techniques for probabilistic machine learning.Collaborate with the research team to explore new ideas and methods.The ideal candidate will have a strong background in computer...

About the RoleWe are seeking a highly motivated and qualified individual to join our research team as a doctoral student in data science with a focus on explainable clustering. As a member of our team, you will be working closely with Professor Aristides Gionis to develop novel methods for extracting knowledge from data, modeling large-scale complex systems,...

We are seeking a postdoctoral researcher to join our team at KTH Royal Institute of Technology. As a postdoctoral researcher, you will conduct research in Bayesian inference techniques, focusing on developing novel methods for efficient computation and storage of large-scale data sets.Key ResponsibilitiesDevelop and apply Bayesian inference techniques for...

We are seeking a highly qualified and motivated individual to pursue a PhD in the area of machine learning with focus on explainable clustering. The prospective PhD student will join a research team at KTH led by Professor Aristides Gionis.Key ResponsibilitiesTo develop novel methods to extract knowledge from data, modeling large-scale complex systems, and...

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...

Develop Innovative FeaturesSpotify's Personalization team is responsible for creating innovative features that make discovering music and podcasts easier and more enjoyable for millions of users worldwide.As a Senior Machine Learning Engineer, you will play a crucial role in developing cutting-edge personalized sessions with generative voice AI, working...

Job DescriptionThis doctoral position focuses on developing Bayesian inference techniques and designing probabilistic programming languages for usability and performance.Main ResponsibilitiesConduct original research on probabilistic machine learning and compilers.Develop and apply novel Bayesian inference techniques.The successful candidate will have...

Job SummaryAbout UsWe're a pioneering startup at the forefront of Generative AI and entertainment, where creativity and deep-tech collide.Our platform enables game studios to create dynamic, lifelike animation faster and more affordably than ever before.We're currently onboarding multiple AAA+ game studios that are building games with world-renowned IP.Key...

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