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Field
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Your profile Candidates should have an exceptional academic record and a robust mathematical foundation. They should have published works at the main conferences in the field of machine learning
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
: 301305 Vacancy ID: PDS004533 Position Summary/Description: Develop highly curated datasets of chemical bioactivity and build statistically validated and externally predictive machine learning models
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The Robot Learning Lab in the Department of Computing at Imperial College London is seeking a talented Research Assistant (pre-doc) for an ambitious new project on dexterous robot learning. In
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Location: South Kensington Campus About the role: The Robot Learning Lab in the Department of Computing at Imperial College London is seeking a talented Research Assistant (pre-doc) for an ambitious
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 24 days ago
collaboration. Experience with optical satellite imagery and/or machine learning. Interest in student mentorship and contributing to lab group projects. Create a Job Match for Similar Jobs About The University
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-of-computing-science/ Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We are interested in data-driven models for complex data, including high
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. Ready to be part of our team? Let’s shape the future together! About the team: The Computational Materials Discovery group is looking for a postdoctoral researcher working in the field of machine learning
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, including but not limited to algorithms, databases, cloud computing, machine learning, operating systems and security. Jobs Summary: UM6P invites applications for post-doc, in all areas of Computer Systems. A
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to physical conditions and biological activity, using video recordings from both reef sites and comparable control areas. Within this position as post-doc you will be responsible for developing tools
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appointments may not exceed a combined total of 5 years of relevant work experience as a post-doc and/or in an R&D position, excluding time associated with family planning, military service, illness or other