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. Professional Experience: Implementation of data analysis and optimization methods, predictive models and Machine Learning. In the use of external APIs from multiple sources. Experience in functions similar
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and run it efficiently on different hardware architectures. For example, Google has built TensorFlow, a framework for deep learning allowing users to run deep learning on multiple hardware architectures
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As a Procurement Lead, you will play a pivotal role in ensuring our University's success by optimizing our procurement processes, building strong supplier relationships, and driving cost savings
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first impression and lead by example. The role includes advanced proficiency in multiple EMR platforms and includes but is not limited to scheduling, imaging and registration systems (Cadence, Optime, and
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research that covers the energy value chain from generation to innovative end-use solutions, motivated by industrialisation and deployment. ERI@N has multiple Interdisciplinary Research Programmes which
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. For example, Google has built TensorFlow, a framework for deep learning allowing users to run deep learning on multiple hardware architectures without changing the code. Our research team at NYUAD (New York
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for deep learning allowing users to run deep learning on multiple hardware architectures without changing the code. Our research team at NYUAD (New York University Abu Dhabi) is developing a new
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overseeing the day-to-day operations of the SAM database, while identifying opportunities to optimize license utilization. Additionally, you will play a key role in compliance audits and collaborate with
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the design, optimization, and governance of the university’s enterprise data systems. In this pivotal role, you’ll help ensure data is secure, reliable, and accessible—empowering insights that drive strategy
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University is uniquely positioned for collaborations with multiple academic institutions, government laboratories, and industry partners in the D.C.–Maryland–Virginia region. GMU has a strong institutional