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Meta/Facebook, AI and Systems Position ID: Meta/Facebook -AI and Systems -RESEARCH [#29126] Position Title: Position Type: Government or industry Position Location: Menlo Park, California 94025
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Computer Science, Southampton. The project is researching, developing and evaluating decentralised algorithms, meta-information data structures and indexing techniques to enable large-scale data search
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theoretical physics, whose responsibilities relate to distributed systems and the GPU optimization of AI algorithms. We expect the team to grow in size considerably over the next few years, and are looking
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decentralised algorithms, meta-information data structures and indexing techniques to enable large-scale data search across Personal Online Datastores (pods) hosted on distributed pod servers, addressing both
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brand storytelling assets that are optimized for digital ecosystem distribution. Own and manage social content publishing platforms inclusive of but not limited to LinkedIn, Meta, YouTube, WeChat, Little
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, academic-year position at the rank of Assistant Professor starting in August 2025, with preference given to candidates specializing in Cybersecurity, Algorithms and Theory of Computer Science, Natural
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algorithms are used that allow a computer to process large data-sets and learn patterns and behaviours, thus allowing them to respond when the same patterns are seen in new data. This include 'supervised
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research (e.g., integer linear programming and constraint programming); heuristics, meta-heuristics, and evolutionary computations; distributed and cloud computing; automated reasoning (e.g., formal and