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Field
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network of IoT weather sensors. Assemble, configure, and deploy custom IoT devices in field conditions, including satellite communication modules for remote data transmission. Optimize algorithms for edge
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will have the opportunity to develop innovative algorithms and models that integrate multiple data modalities, collaborate with industry partners, and contribute to high-impact publications. Job
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will have the opportunity to investigate innovative solutions using machine learning algorithms and predictive modelling techniques in the context of a collaborative project with Goodyear Luxembourg (one
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limited to, scheduling, canceling, rescheduling, general appointment information, and directions. Coordinate services across multiple DUHS and PDC clinical locations, departments, and providers. Service
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people and communities everywhere. By working in and across multiple scientific areas, CALS can address challenges and opportunities of the greatest relevance, here in New York, across the nation, and
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challenges, encompassing both fundamental and applied research, from the development of algorithms, tools, and frameworks that advance scientific discovery to methodologies that utilise computational
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Charge Capture Coordinator - Clinical Rev Integrity - Full Time 8 Hour Days (Non-Exempt) (Non-Union)
entry errors for clinical department process improvement. Essential Duties: Review department clinical documentation from multiple sources and enter hospital charges accurately, timely and in accordance
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—remains a critical challenge. This project will focus on designing AI-driven cognitive navigation solutions that can adaptively fuse multiple sensor sources under uncertainty, enabling safe and efficient
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real-time AI algorithms, data infrastructure management, surgical robotics, and human factors. Work collaboratively with clinical teams at multiple institutions to demonstrate the operation and
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, employing state-of-the-art statistical techniques, managing and analyzing large datasets, and applying machine learning algorithms and large language models to derive meaningful insights. Interactions with