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What you bring to the table: 3+ years professional experience in technology research in the emerging technology space or a related position (related investment banking, equity research, consulting, or journalism experience), preferably in artificial intelligence, quantum computing, blockchain, AR/VR, or other deeptech areas.
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ResponsibilitiesSupport applications of Artificial Intelligence (AI) in various research disciplines and serve as the domain expert. The Office of Research oversees the conduct of sponsored research, research program development, and contract management functions.
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Handling patent prosecution matters related to data science, AI, networking technologies (especially network security), machine learning/artificial intelligence, and hardware security. Experience in data science, AI, networking technologies (especially network security), machine learning/artificial intelligence, and hardware security.
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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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The Data Science team leads the strategy, development and integration of Machine Learning and Artificial Intelligence. Build production ready prototypes for, and iteratively develop, end-to-end data science pipelines including custom algorithms, statistical models, machine learning and artificial intelligence functions to meet end user needs.
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The successful candidate will interface directly with counsel and engineers at both established and emerging tech clients, gaining exposure to subject matter areas such as artificial intelligence, cloud computing, rockets and space-oriented payload delivery, automation, computer networking, encryption, graphics and animation, and computer gaming/e-sports.
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Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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Collaborate with Global HR operations, HR Data Science, HR Data Product to complete process mapping and process reengineering to recommend where Artificial Intelligence/Robotic Process Automation can be applied in mobility, payroll, etc Required qualifications, capabilities, and skills.
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Our customers leverage our professional analysts, analytics, and artificial intelligence to make profitable crypto investments. Token Metrics helps crypto investors build profitable portfolios using artificial intelligence based crypto indices, rankings, and price predictions.
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Our industry-recognized team is in high demand across data analytics, robotic process automation, and artificial intelligence. 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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This role allows you to work with a team of talented consultants, requiring you to balance innovation with pragmatic client expectation management. 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 Department of Defense’s (DoD) Chief Digital and Artificial Intelligence Office (CDAO) is at the forefront of supporting the DoD with the adoption of innovative technologies such as data, analytics, and artificial intelligence to help accelerate predictions, forecasts, and interpretations for both strategic and tactical decisions across the enterprise.
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Using advanced artificial intelligence and machine-learning technologies, Cedars-Sinai Cancer Center researchers can create a computational model of the patient, known as the "Molecular Twin.
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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. Track projects to ensure adherence to schedule and communicate status updates to other teams and mid-level management.
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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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artificial intelligence jobs Title: revenue management Company: Nielseniq
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