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Identify ways to leverage emerging and disruptive capabilities including machine learning, natural language processing, deep learning, artificial intelligence, robotics/automation, internet of things, big data technologies, and digital enablement.
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Within this group, you will be exposed to a diverse array of electrical and computer related applications (i.e., telecom networks, 5G, 6G, LTE Advanced, Wi-Fi, industrial control systems, robotics, medical devices, artificial intelligence (AI), machine learning (ML), mesh neural networks, deep learning, cloud computing, virtual machines, operating systems, computer architecture, cybersecurity, blockchain, image and video processing, etc.
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Experience in software product development in a product management, or analytics development (data science, machine learning) role. Has knowledge of emerging trends and developments in PaaS, SaaS, cloud, AI, machine learning and other digital technologies.
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Under the general direction of the After-School Program Director, the Academic Learning Specialist is responsible for leading and providing individual or small group academic support during Afterschool program.
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Candidates also need to have a publication track record showing research experiences that developed or applied at least one of the following techniques to solve a problem related to the broad application areas as listed above: signal processing/time series analysis, machine learning, deep learning, mathematical modeling, system identification, optimization, digital/mobile health, natural language processing, and data visualization.
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Data Analysis, Databricks Platform, Data Science, Machine Learning, Technical Solutions. Experience with designing and executing machine learning models and applications. These include but not limited to Python/Pyspark, SAS, CDC cloud environments (Databricks, SAS Viya, Azure Dev Ops etc.
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Develop and publish relevant bioinformatics methodologies, pipelines, and algorithms, and stay abreast of the latest advancements in bioinformatics, machine learning, and oncology research.
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Experience using SAS, R, Python, or other programming languages (e.g., classical statistical modeling, machine learning, bioinformatics computational modeling, etc.) Experience using SAS, R, Python, or other programming languages (e.g., classical statistical modeling, machine learning, bioinformatics computational modeling, etc.
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Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure.
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Familiarity with Artificial Intelligence/ Machine Learning, Robotics Process Automation and Blockchain and their impact on the regulatory environment. Transaction tax engine experience (e.g., Vertex, Thomson Reuters, Avalara.
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The initiatives will include both short-term and long-term research in areas such as artificial intelligence, machine learning & data mining, natural language processing, big data systems, information and data visualization, and social & cognitive science.
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Responsible for the administration, configuration, and optimization of the Databricks platform to enable data analytics, machine learning, and data engineering activities within the organization.
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We are interested in a variety of topics including data visualization and interactivity, applied machine learning and AI, AI bias and trust, big graphs, natural language processing, data mining, big data management, and heterogenous data analytics.
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We are looking to hire a staff machine learning engineer to join our RVO Health data science team. Research the state of the art of machine learning, AI, statistical modeling and optimization technologies, and their applications in digital marketing, digital media and e-commerce.
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The School is a leader in 10 areas of specialization, including Advanced Manufacturing , Analytics & Machine Learning , Applied Probability and Simulation , Data Science and Statistics , Economic Decision Analysis , Energy and Sustainable Systems , Health and Humanitarian Systems , System Informatics and Control , Optimization, and Supply Chain Engineering.
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machine learning jobs Title: learning architect Company: Meta in Atlanta, GA
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