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Experience with data science, machine learning, and/or artificial intelligence. Leidos Intelligence Group uses a wide range of capabilities in Digital Modernization, Mission Software Systems, and enabling technologies like Artificial Intelligence and Machine Learning to support our customers' mission to defend against evolving threats around the world.
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Job Summary The faculty of the Department of African American Studies at the University of South Carolina Columbia campus invites applications for a , professional-track faculty position at the rank of Instructor to begin January 1.
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Support social-emotional learning skill development through targeted curricula, assessments, and more intensive behavior support as needed. Data-driven, evidence-based learning and instructional models, including SESI’s own positive behavioral interventions and support (PBIS) framework called CASE.Competitive salary of $60,000-65,000 based on experience and credentialsAn attractive and robust suite of benefits, including comprehensive healthcare benefits, 401(k) with employer match, employee assistance program, mental health support, fertility and family building, and more.
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The Physics-based Simulation and Machine Learning Engineer will work both individually and in concert with other engineers, subject-matter experts, and program management to develop suitable modeling strategies that can be used for advanced process control and decision making.
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Nelnet Business Services (NBS), a division of Nelnet, Inc., provides payment technology, education services, and learning management solutions to education and faith-based organizations, serving more than 1,300 higher education institutions, 11,500 K-12 schools, 3,500 churches, and millions of individual students, families, and supporters across the globe.
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Deep Learning and Machine Learning using frameworks, such as TensorFlow or PyTorch etc. Foster a culture of learning and innovation. Cultivates Csuite relationships with global cloud service providers (CSPs), digital services/SaaS providers, enterprise, cloud and public sector customers, independent software vendors (ISVs), system integrators (SIs), and managed service provider (MSP) partners to maximize utilization of Company product capabilities.
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The Company creates quality books and ebooks, print and technology-based learning programs for pre-K to grade 12, classroom magazines and other products and services that support children's learning both in school and at home.
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As a Senior Associate in our Risk Analytics and Modeling team, you'll have the opportunity to apply your quantitative, modeling and analytical skills in a real world environment to develop or validate statistical, financial engineering, and AI/machine learning models in the areas of credit risk, market risk, assets and liabilities management, fraud detection, anti money laundering and other functional modeling and analytics area.
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Medical University of South Carolina participates in the federal E-Verify program to confirm the identity and employment authorization of all newly hired employees. The Medical University of South Carolina is an Equal Opportunity Employer.
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Access to a robust learning management system, full of e-learning modules and training programs to help boost your professional and personal development. CFF is the parent company to eleven brands including TitleMax®, TitleBucks®, InstaLoan® Check Into Cash®, Cash 1®, Check Smart®, Easy Money®, Rapid Cash®, and Speedy Cash.
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Your Benefits FLSA Status Non-Exempt Discretionary annual bonus Paid Time Off Health Insurance Dental Insurance Vision Insurance 401k Matching Paid Maternal Leave Parental Leave Learning reimbursement opportunities Your Responsibilities Demonstrate proficiency in Building Automation Systems (BAS), Entrata and CMMS systems for timely logging of service requests and completed work.
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Information technology, machine learning, malware, matlab, processor, robotics, software. Knowledge of Artificial Intelligence and Machine Learning concepts. Minimum Qualifications: Bachelor s in Computer Engineering, Computer Science, or Electrical Engineering with 8 to 12 years of relevant work experience focused on low-level development and CNO. Experience in system-level programming or development of embedded systems.
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Specialized experience for this position includes: Experience applying analytic approaches, including (but not limited to) machine learning, text analytics, and natural language processing; graph theory; link analysis and optimization models; complex adaptive systems; and/or deep learning neural networks that are part of the study.
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The Python scripts will use supervised and unsupervised ML (both text and image-based machine learning), natural language processing (named entity extraction, summarization, etc.) Experience with machine learning, algorithm analysis, and data clustering.
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GliaCell’s Enterprise capabilities include Full-Stack Application Development, Big Data, Cloud Technologies, Analytics, Machine Learning, AI, and DevOps Containerization. GliaCell is seeking a Junior Software Engineer on one of our subcontracts.
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learning job Company: University Of South Carolina in Columbia, NJ, Pennsylvania
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