89 distributed-algorithm-"Meta"-"Meta"-"Meta" uni jobs at University of Pennsylvania in United States
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, Distribution Services (Space Planning & Operations) Job Profile Title Supervisor C Job Description Summary Under the direction of the Director for Distribution Services and in coordination and collaboration with
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Supervisor, Clinic Distribution Services, Penn Dental Medicine Job Profile Title Supervisor, Dental Job Description Summary Penn Dental Medicine’s Assistant Supervisor for Clinic Distribution Services
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Services Assistant, Distribution Services (Space Planning & Operations) Job Profile Title Services Assistant C Job Description Summary The Building Services Assistant ("BSA") performs a wide variety of tasks
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results are aggregated into an overlapping generations (OLG) model for longer-term dynamic forecasting and distributional analysis. Models are frequently updated to reflect the latest economics and
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electrical distribution 1 systems. This individual ensures that all work aligns with NEC, OSHA, and NFPA 70E safety standards. The Electrical Operator is also the key point of coordination for troubleshooting
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and help develop and distribute surveys; use feedback to inform business planning. Customer Experience & Engagement Lead divisional customer experience initiatives, including coordination of presence
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maintenance of machine learning algorithms, applications, analysis pipelines, and results reporting methodologies using R and SAS (including R functions and SAS macros for data management and analysis support
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, distributing mail, photocopying, scanning, hand deliveries, and express shipping. Calendar Management Assist with managing the website and internal communication e.g., newsletter Processing financial
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machine learning algorithms for extracting movement and contextual data from multimodal sources including videos, biosensor recordings, and text. Job Description Job Responsibilities Perform data annotation
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from specialized human movement datasets. Assist in identifying available datasets, performing data annotation, developing and applying machine learning algorithms for extracting movement and contextual