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We are seeking an outstanding Director - Artificial Intelligence/Machine Learning to join our team and lead the AI/ML Strategy and Program at the CZ Biohub Chicago, reporting to the President.
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Lecturer in School of Informatics & IT (Data Analytics and Artificial Intelligence) Lecturer/School of Informatics & IT (Data Analytics and Artificial Intelligence) page is loaded.
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Lecturer/School of Informatics & IT (Data Analytics and Artificial Intelligence) Relevant qualifications in the field of Computer Science, Software Engineering, Artificial Intelligence, or related studies.
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With exceptional experience in artificial intelligence (AI) and large language models (LLM) to join our team and work on adapting and translating advances in artificial intelligence and large language models into impact for underserved and vulnerable populations.
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Required: Master of Science (with 5 years of experience) or entry-level Doctorate in the computational and data sciences including statistics, artificial intelligence, biostatistics, bioinformatics, and statistical genetics.
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Responsibilities include advancing GAM1’s & NOAA’s use in digital transformation Artificial Intelligence (AI) and Machine Learning (ML) techniques, working with the enterprise stakeholders as they tackle data management, integration, dissemination, warehousing, and governance to manage the complexity of critical mission data for actionable insights and decision making.
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Responsible to advance NOAA’s use in digital transformation Artificial Intelligence (AI) and Machine Learning (ML) techniques, working with the enterprise stakeholders as they tackle data management, integration, dissemination, warehousing, and governance to manage the complexity of critical mission data for actionable insights and decision making.
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Practice - AIA - Artificial Intelligence and Analytics. About AI & Analytics: Artificial intelligence (AI) and the data it collects and analyzes will soon sit at the core of all intelligent, human-centric businesses.
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Familiarity with Artificial Intelligence/ Machine Learning, Robotics Process Automation and Blockchain and their impact on the regulatory environment. NET (C# or VB), R, Python proficiency.
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Transaction tax engine experience (e.g., Vertex, Thomson Reuters, Avalara) Familiarity with analytics / visualization tools (e.g. Alteryx, DOMO, Power BI, Tableau) Our teams implement transaction tax engines and tax reporting/compliance technologies for large organizations through standard or custom integrations.
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Requirements EDUCATION Bachelor’s degree in Math, Science, Statistics, Economics, Finance, Informatics, Computer Science, Information Systems, Health Information, Epidemiology, Data Analytics, Data Science, Predictive Analytics, Artificial Intelligence, Engineering, or Physics required.
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Whether it’s your work location, weekly schedule or unlimited flex time off, we empower you with the options to work in the way that best serves your clients and your life. Accounting degree with Data Science, Analytics, or Information Systems minor.
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Candidates with experience teaching programming in languages such as Java, Python, C, C , MATLAB, Verilog or VHDL, and experience teaching lab courses in circuits, computer hardware, electromagnetics, artificial intelligence, data science, and other areas of electrical and/or computer engineering are preferred.
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In addition, our team manages, automates, analyzes and visualizes data using data transformation and visualization tools to support process improvement initiatives. Database architecture; creating queries and tables using, e.g., Oracle or SQL server.
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Data Science or Analytics degree with Accounting or Business minor. Information Systems or Computer Science degree with Accounting or Business minor. Benefits for internship positions: Grant Thornton interns are eligible to participate in the firm’s medical, dental and vision insurance programs and the firm’s employee assistance program.
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