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The Opportunity As a Computer Scientist/Engineer on the Fraud Team, you will be at the forefront of developing and executing an innovative strategy utilizing Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), Large Language Models (LLM), and Multi-Agent Systems to combat a variety of fraudulent activities.
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The following persons have been designated to handle inquiries regarding the non-discrimination policies: John-Paul Chaisson-Cardenas, PhD, MSW, Vice-president of Diversity, Equity, and Inclusion, (jchaisson-cardenas@commnet.edu.
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Analyze science, engineering, business, and other data processing problems to implement and improve computer systems. Diversity, equity, and inclusion aren’t just buzzwords.
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As part of a growing team this role will have the ability to leverage and work with new capabilities as they are deployed including deception infrastructure, continuous penetration testing, data loss prevention (DLP), and machine learning capabilities.
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The position will involve computer modeling for vibration and acoustics analyses, which could include finite element analysis (FEA) of structural systems, building acoustics modeling and ray tracing, and/or environmental noise modeling.
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Bachelors Degree in Computer Science, Computer Engineering, Electrical Engineering, Applied Mathematics, Physics, or related scientific/engineering discipline.
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Familiarity with Information Governance technology ecosystem and how it supports Information Governance processes including: enterprise content / document management systems, records management systems, archival systems, legal hold management systems, mobile device management systems, communication surveillance applications, privacy compliance management systems, data discovery and scanning, etc.
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Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure.
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PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field, or Master's degree.
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Knowledge of science related to food systems, composting, and/or use of compost and soil amendments. ORISE Information: This program, administered by ORAU through its contract with the U.S. Department of Energy (DOE) to manage the Oak Ridge Institute for Science and Education (ORISE), was established through an interagency agreement between DOE and EPA. Participants do not become employees of EPA, DOE or the program administrator, and there are no employment-related benefits.
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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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PURVIS Systems is seeking an experienced Acoustics Engineer (Electronics Technician) to provide general engineering support on Navy equipment for acoustic acquisition and analysis.
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We are in the midst of helping clients fundamentally rethink how to transform 20+ years old systems and services in investment and core banking, payments, retirement and wealth management into modern cloud native.
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Ii) develop of machine learning and computational discovery methods for public health research. Experience in Bioinformatics or Data Science, including independent algorithm/software development and analysis of next-generation microbial sequencing data.
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NICET certification in Water-Based System Layout, Fire Alarm Systems, or Special Hazards Systems a plus (National Institute for Certification in Engineering Technologies) and may be considered as substitute for Bachelor of Science degree in an otherwise well qualified candidate.
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machine learning computer science systems engineering equity and inclusion jobs Title: engineering in Bethesda, MD
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