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Promote modern approaches in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Large Language Models (LLMs) within the computational and data ecosystem to advance researcher productivity and scientific discovery.
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Sitting at the intersection of quantitative and investment analysis, the professional will be a "hands-on" player/coach building a team of Data Scientists focused on the implementation of Data Science technologies, techniques and methodologies leveraging Artificial Intelligence (AI) and Machine Learning, advanced analytics, and statistical methods.
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Must have a strong background in one or more of the following: Mathematical, Statistics, Probability, Deep Learning, Machine Learning, Natural Language Processing, Computer Vision, Recommendation Systems, Pattern Recognition, Large Scale Data Mining or Artificial Intelligence.
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Participate in the planning and specification of applied technology solutions including instrumentation and control, advanced automation and control, artificial intelligence, Operational Technology (OT) networking, data management & analytics, augmented reality, and vision control.
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Working knowledge and a passion for topics related to tech policy, new/emerging technology, trust & safety, intelligence, data privacy, and/or geopolitics. Our primary areas of focus are artificial intelligence safety, digital threats, security, intelligence, and technology policy–including content policy, policy development, enforcement, privacy, regulation, public policy, and international stakeholder engagement.
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Work in our group focuses on developing innovative image analysis, machine learning, AI and data science methodologies for multimodality imaging, and also on incorporating such methods into clinically relevant applications.
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Utilize extensive knowledge of polymer chemistry principles for materials selection/management, formulation processes to enhance the scalability and quality of the lens material.
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Play a key role in building out the Business Intelligence team’s technical capabilities and BI data assets, incorporating entitlements, Tableau, and Snowflake. The Business Intelligence team within EDM is responsible for delivering analytics solutions that enable our stakeholders to make data driven decisions.
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Evaluate and implement technologies incorporating machine learning, artificial intelligence, and music recognition technologies to further SME's content protection strategies. Knowledgeable about machine learning, artificial intelligence, and music recognition technologies.
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Job DescriptionGen AI Solution Architect/Delivery Lead -DescriptionJob Title: Databricks Generative AI Solution Architect / Delivery LeadJob Location: Hybrid (preferred base cities: Atlanta, NYC, Chicago, NYC, Dallas, Houston, and Seattle)Job description: The AI Architect will leverage expertise in data science, specifically in artificial intelligence, machine learning, and software architecture to address complex business challenges.
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Develop expertise on the Capital One threat landscape using internal data, threat trends, and operational metrics to clearly communicate the Capital One threat landscape to senior executives, to include the Chief Information Security Officer and Chief Information Officer.
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Our mission is to build great products that accelerate next-generation computing experiences – the building blocks for the data center, artificial intelligence, PCs, gaming and embedded.
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LanceSoft is seeking a travel Clinical Lab Scientist (CLS) for a travel job in New York, New York. Specialty: Clinical Lab Scientist (CLS) LanceSoft is seeking a travel Clinical Lab Scientist (CLS) for a travel job in New York, New York.
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Stability Healthcare is seeking a travel Clinical Lab Scientist (CLS) for a travel job in New York, New York. Posted job title: CLS (Clinical Lab Scientist) Stability Healthcare is seeking a travel Clinical Lab Scientist (CLS) for a travel job in New York, New York.
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Understand the impact of key technology trends and workforce changes impacting our clients through engagement with innovative and emergent technologies, including cloud computing, big data and analytics, process automation, artificial intelligence / machine learning, and other digital strategies.
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artificial intelligence data scientist jobs Company: Amd in New York, Phenix-city, Alabama
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