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We offer a Ph. D. degree in Computer Science and Engineering, M. S. degrees in Artificial Intelligence, Computer Engineering, Computer Science, Cybersecurity and Data Engineering, ABET-accredited B. S. degrees in Computer Science and Computer Engineering, an ABET-accredited B. A. degree in Information Technology, and a new B. S. degree in Cybersecurity.
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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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Master's degree in computer science, computer information systems, computer information technology, computer engineering, or computer-based information systems or related field(s.
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Data Analytics, Data Science, Statistics, Health Informatics, Biostatistics, Computer Science, Artificial Intelligence, Machine Learning, Applied Mathematics. 0 years of related experience with a Ph. D. in Data Analytics, Data Science, Statistics, Health Informatics, Biostatistics, Computer Science, Artificial Intelligence, Machine Learning, Applied Mathematics.
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The faculty members are excellent educators with practical and research expertise in machine learning, data science, artificial intelligence, information security, mobile networking, social networks, bioinformatics, etc.
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We are particularly interested in candidates in the areas of Artificial Intelligence (including Machine Learning, Natural Language Processing, Computer Vision, and Knowledge Engineering), Data Mining and Analytics, Cybersecurity, Human Centered Computing (including Information Visualization, Human Computer Interaction, Social Computing, Pervasive & Ubiquitous Computing), Network Science, Cloud Computing, and Information System Design.
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Must be enrolled full time at a 4-year accredited university/college in a Computer Science, Computer Engineering, Data Science/Analytics, Data Visualization, Marketing Analytics, Math, Stats, Software Engineering, Information Systems, Systems Engineering or related degree.
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Drive both short term and long-term research initiatives in areas such as artificial intelligence, machine learning & data mining, natural language processing, bigdata systems, information and data visualization, social & cognitive science.
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A graduate degree (Masters/PhD) in computer science, computer engineering, electrical engineering, mechanical engineering, aerospace engineering, or similar technical discipline with an emphasis on artificial intelligence and machine learning.
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Accounting, Management Information Systems, Statistics, Mathematics, Analytics, Computer Programming, Computer and Information Science, Business Administration/Management.
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Demonstrate expert knowledge in machine learning and rule-based systems as applied to computational linguistics and natural language processing, as well as development and execution of annotation tasks with teams of experts.
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Master's degree in Computational Biology, Computational Bioengineering, Machine Learning, Statistics, Computer Science, Mathematics, or a related field. Bachelor's degree in Machine Learning, Computational Biology, Statistics, Computer Science, Mathematics or a related field, or the equivalent combination of education and related experience.
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Doctorate (Academic) in Computer Science, Computer Engineering, Electrical Engineer, Mechanical Engineer, Mathematics, or Physics. Research, develop and implement groundbreaking machine learning solutions for semiconductor device and thin film metrology.
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PhD in computer science, applied mathematics, physics, computational biology or other quantitative disciplines. FL97 is seeking experienced, creative, and talented Machine Learning Researchers (LLMs) across Scientist, Senior Scientist, and Principal Scientist levels to join our team.
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Bachelor’s degree in computer science, Information Systems, Software Engineering or similar field. Experience in Data Science/cloud-based machine learning platforms (AWS Bedrock, AWS Sage maker, Snowflake Cortex etc.
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machine learning computer science systems information jobs Title: engineering Company: Marsh Mclennan Companies in Anoka, Minnesota
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