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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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We are on the forefront of CBRN defense and we are looking for talented Data Scientists that have applied experience in the fields of artificial intelligence, machine learning and/or natural language processing to join our team.
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Our client in Forth Worth, Texas is looking for an FEA Engineer with Artificial Intelligence and/or Machine Learning experience. Minimum of 1 year effectively applying Artificial Intelligence or Machine Learning techniques and physics-based AI algorithms to simulation models, improving design cycle times for accelerated innovation.
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Ph. D. with 8+ years of relevant fields with a focus in Artificial Intelligence or Machine Learning development and applications to molecular design. The Cheminformatics team within Bristol Myers Squibb is seeking an exceptional scientific leader interested in artificial intelligence and machine learning for molecular design.
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Research and education areas at DIMACS include algorithms, combinatorics, complexity, privacy and security, discrete and computational geometry, optimization, graph theory, data science, artificial intelligence, and machine learning, with applications in sustainability, epidemiology, genetics, networks, transportation, security, and economics.
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We apply advanced technologies such as Digital Signal Processing, Analytics, Machine Learning, Artificial Intelligence, and Cloud computing to solve our customer and mission challenges.
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DLH is dedicated to your career development, providing training to help drive success, with access to our best-in-class e-Learning suite for formal and informal learning, professional and technical certification preparation, and education assistance at accredited institutions.
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Our experts in public health, performance evaluation, and health operations solve the complex problems faced by civilian and military customers alike by leveraging advanced tools including digital transformation, artificial intelligence, data analytics, cloud enablement, modeling, and simulation, and more.
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This role will perform hands-on delivery of solutions that include artificial intelligence (AI) and cognitive services, ML models, pipelines, databases, and other data analytics components, contributing to the development and unit testing of solutions.
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Overview Are you a a data expert with broad understanding and experience in solving business problems by integrating statistical analysis, machine learning/artificial intelligence, deep learning, Natural Language Processing (NLP) and Large Language Models (LLMs.
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Our industry-recognized team is in high demand across data analytics, robotic process automation, and artificial intelligence. Net, C#, Qlik, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Kinesis, QuickSight, SageMaker, S3, Databricks, AWS Lake Formation, Snowflake, Python, Qlik, Athena, Data Pipeline, Glue, Star Schema, Data Modeling, Performance Tuning, SQL Individual salaries that are offered to a candidate are determined after consideration of numerous factors including but not limited to the candidate’s qualifications, experience, skills, and geography.
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The NCSIS portfolio encompasses modeling and analytics for transportation logistics and supply chain security; critical infrastructure cybersecurity; artificial intelligence/machine learning for cybersecurity, nonproliferation, and other relevant missions; autonomous cyber defense and situational awareness; cybersecurity workforce development; and knowledge discovery and management systems, among others.
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Is a key member of the University of Miami Information Technology Leadership Team. The CAIO's primary responsibility is to drive the strategic vision, development, and implementation of artificial intelligence (AI) initiatives across all three parts of our mission, Academics, Clinical Care and Research.
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3+ years of hands-on experience with Artificial Intelligence (AI) such as reinforcement learning, or optimization algorithms Preferred qualifications, capabilities, and skills: PhD in Economics Experience developing advanced forecasting, AI, or ML models in consumer finance, financial services, tech, or a major retailer AWS Certified Machine Learning or Microsoft Certified: Azure AI Fundamentals preferred Expertise in at least one programming language, with Python preferred.
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IonQ’s computers will soon redefine industries like medicine, materials science, finance, artificial intelligence, machine learning, cryptography, and more. We are looking for a Senior Product Manager to support our production of quantum computing systems.
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professional development learning artificial intelligence jobs Title: product manager
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