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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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)—topics including, but not limited to: · Physics-informed neural networks (PINN) & neural operators · Physics-aware convolutional neural networks (PARC) · Meta-learning/transfer
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to temporal data, such as RF I/Q streams, audio, or video. (2) Quantum information science and engineering, with emphasis on quantum algorithm development using current and/or near-term quantum computers (3
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, and YouTube. Familiarity with social media management tools (e.g., Sprout Social, Hootsuite, Later) and analytics platforms (e.g., Meta Insights, Google Analytics). Strong skills in short-form video
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written reports, and makes preliminary interpretations of the data. Assists with assembly, annotation, meta-genomic analysis, and genotyping using high-throughput sequencing platforms including 454
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opportunities. Define target audiences for social channels and set guidelines for the development of highly engaging content that accounts for platform algorithms. Conceive of integrated digital storytelling
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University’s digital platforms. Ranking 4 Job Duty Implement on-page SEO best practices, including meta tags, header structures, internal linking strategies, and schema markup, ensuring pages are optimized
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University’s digital platforms. Ranking 4 Job Duty Implement on-page SEO best practices, including meta tags, header structures, internal linking strategies, and schema markup, ensuring pages are optimized
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University of Massachusetts Medical School | Worcester, Massachusetts | United States | 2 months ago
, implement and maintain custom designed computational solutions relevant for ongoing lab-based projects. Independently develop, implement and maintain computational methods for meta-analysis of data generated