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ResponsibilitiesSupport applications of Artificial Intelligence (AI) in various research disciplines and serve as the domain expert. Working as part of an existing team, the successful candidate will have ample opportunity to contribute to enabling science at UChicago, to collaborate on software development, develop and deliver training, and other activities designed to advance research through scientific visualization, machine learning, and beyond.
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Experience in host-microbiome interaction modeling and/or machine learning and Artificial Intelligence in analysis of HTP biological data a plus. PreferredA demonstrated interest in creating a collaborative research environment, prior experience in multi-institution collaborations or consortia, applications of machine learning and artificial intelligence in biomedical research, and a robust publication history is preferred.
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E.g. Alteryx, PowerBi, Tableau, Snaplogic and RPA technologies (UiPath, Automation Anywhere, PowerAutomate, etc), and machine learning/Artificial Intelligence. Demonstrate knowledge of technologies that support collaboration, automation and data-driven story-telling including:Microsoft Products (Teams, PowerBI, MS Office), G-Suite (Google), and business intelligence tools.
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And we're pushing the limits in firmware engineering, power electronics, embedded systems, machine learning, and the use of artificial intelligence. Ability to read power electronics schematics and component data sheets.
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We are passionate about incorporating the latest technologies in computer vision, image processing, computational photography, machine learning and artificial intelligence into today’s most advanced products: smartphones, tablets, PCs, and greatly improve the consumer experiences.
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Cardiosense is a digital health company that operates at the intersection of wearable technology and artificial intelligence to improve patient health. Deep understanding of both classical machine learning and AI/deep learning concepts.
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We Are Nextira, now part of Accenture, builds cloud-based solutions and services with cutting-edge engineering skills, artificial intelligence (AI), machine learning (ML) , and data analytics that enable clients to design, build, launch and optimize high-performance computing environments.
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Our team brings together experts in data science, electronics, and healthcare and has partnered with leading healthcare and academic institutions to introduce the next generation of patient waveform monitoring and analytics solutions.
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The Lead Algorithm/Data Architect, Artificial Intelligence (Remote Position) at Beckman Coulter Diagnostics is responsible for executing on an established visionary direction and serve a both as a leader and technical expert, capable of growing into the lead of our Hematology Program.
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The creative application of artificial intelligence, machine learning and stored information to improve pattern recognition, genetic analysis and deep phenotyping of health data is anchored by our commitment to responsible, ethical and open science.
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Transformative AI / ML & Health Equity (Open Rank Faculty - Non - Tenure System) Physician Scientist
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For the purposes of this search, AI/ML includes machine learning, artificial intelligence, and technologies where machine learning could be applied to high volume or technical data (i.e., digital interventions, mobile health, robotics, simulation and virtual reality, and wearable technology.
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Basic knowledge of digital manufacturing technologies such as digital twin, artificial intelligence, and machine learning, as well as cybersecurity guidelines and frameworks, including NIST and CIS.
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The Principal Architect - Responsible Artificial Intelligence validates that our services, applications, and websites are designed and implemented in accordance with United’s secure development and responsible AI standards.
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Extensive experience working with R and Python data science tools to analyze and visualize health care data and to develop data pipelines to support Artificial Intelligence and machine learning model development.
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Digital.ai founding principals have always been to help enterprises scale software delivery, manage DevSecOps tooling complexity, and derive a better understanding of the value software delivers through the application of analytics, machine learning and artificial intelligence.
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artificial intelligence machine jobs Title: data science Company: Capital One in Chicago, IL
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