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Applicants should be experienced with machine or computer vision, data processing for artificial intelligence and software development. Technical expertise and focus in the AML is applied to fundamental chemistry of organic and inorganic synthesis, material processing for property-performance optimization, proto-type design engineering for structural-electronic functionality, with an emphasis on expanding autonomous material discovery and informed design enabled by machine learning.
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Builds relationships with trusted advisory stakeholder relationships, and acts as a SME for Artificial Intelligence/Machine Learning related products and services in specific verticals; staying current on the latest Artificial Intelligence/Machine Learning technologies and tools.
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The Intelligent Systems Group at Lynntech is developing new technologies through Research and Development (R&D) to come up with solution to frontier challenges in Artificial Intelligence, Machine Learning (ML), and Data Science.
$16.2 - $28 an hourInternExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with Artificial Intelligence, Machine Learning, and various tools and frameworks. Employ popular tools like GitHub, VSCode, Platformio, Arduino, Raspberry Pi, and others to manage, develop, and prototype software/firmware.
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Apply and develop artificial intelligence and machine learning (AIML) approaches (e.g. classification, clustering, machine learning, deep learning) on pharma research data sets (e.g. activity, function, ADME properties, physico-chemical properties, etc.
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Artificial intelligence, recruitment, machine learning, data science, staffing, ai, community, podcast, Computer Vision, Deep Learning, data engineering, big data, automation, ServiceNow, splunk, digital transformation, executive search, data analytics, cybersecurity, software engineering, software development, and it.
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Artificial Intelligence Technologies, Cross Domain Knowledge, Data Engineering, Data Science, Design Thinking, Development Fundamentals, Full Stack Development, IT Performance, Machine Learning Operations, Scalability Testing, Security-First Mindset.
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The URBS-lab focuses on the development and application of machine learning, artificial intelligence, and statistical methodologies targeting a variety of domains and data types within biomedical research.
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We are recruiting highly ambitious and motivated Postdoctoral Researchers in the Division of Biomedical Informatics (BMI) within the Department of Health Outcomes and Biomedical Informatics (HOBI) at University of Florida (UF) with a focus on various aspects of data science, especially Artificial Intelligence and Machine Learning (AI/ML.
$56,484 - $58,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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3-5 years of experience building and implementing artificial intelligence, neural networks, deep learning, or machine learning capabilities in software applications in a national security or academic environment.
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Understanding of Artificial Intelligence, Machine Learning, Data Science and Robotic Process Automation. Understanding of security monitoring activities that enable vulnerability, internal/external threat monitoring, incident management and threat intelligence activities.
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Reporting to the VP of Verticals & Growth Marketing, this role will also work closely with the Public Sector Sales, aiWARE and Services teams and should be familiar with the key business challenges and technologies that are enabling innovative new solutions (e.g., Artificial Intelligence, Machine Learning, Deep Learning, Over-The-Top (OTT), Internet of Things, Mobile, and Generative AI.
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The person in this role will be responsible for development and delivery of courses in the Electrical and Computer Engineering curricula, including but not limited to electromagnetics, circuits, photonics, computer hardware, artificial intelligence, and machine learning.
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Deep understanding of machine learning, deep machine learning, artificial intelligence, and natural language processing. This is a full-time, permanent position with a hybrid work model based in New York. We are at the cutting edge of the technology industry, using advanced AI, deep machine learning, and natural language processing to revolutionize the financial sector.
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We're looking for a Machine Learning Engineer to join our Artificial Intelligence team and work with our team of data scientists to automate thetraining and evaluationofmodels within an Azure ecosystem.
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