159 distributed-algorithm-"Meta"-"Meta"-"Meta" positions at University of Texas at Austin
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, HVAC, gas distribution and gas monitoring system, monitor their installation and witness building commissioning/testing as the Cockrell School’s representative; Meets with future and present occupants
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for The University of Texas at Austin. We have more than 170 employees in five divisions: Utilities Operations; Utilities Distribution; Power Systems, Controls, and Operating Technology; Finance and Administrative
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Learning in a broad sense. Particular areas of interest include, but are not limited to, development and analysis of machine learning models for scientific computing, theory and algorithms for sampling
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The Daily Activity Lab is hiring a full-time lab manager to launch an NIH-funded research study to develop algorithms that use data from wearable sensors to assess the quality of early mother-infant
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between biological and artificial intelligence, and/or use statistical ML algorithms and modern AI to solve fundamental problems in basic neuroscience and/or neuroscience-related healthcare. Other areas
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for The University of Texas at Austin. We have more than 170 employees in five divisions: Utilities Operations; Utilities Distribution; Power Systems, Controls, and Operating Technology; Finance and Administrative
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Demonstrated experience with software requirements and specifications Hands-on experience with image processing or computer vision algorithms and tools Excellent written and verbal communication skills Proven
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, formatting, scheduling, and distribution of our daily, weekly, and ad hoc newsletters. Maintain and manage subscriber lists. Social Media: Create, schedule, and monitor social media posts across multiple
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modelling. Experience in developing and using innovative tools and methods, algorithms, computer programming, and GNSS/Satellite data. Knowledge of programming language, including experience in developing
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to field points. Uses Microsoft Office applications for reporting, e-mail, analysis, presentation, and graphing. Reviews control algorithms and programs for functionality and suitability based on engineering