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We are seeking a seeking a great mid level data architect with data visualization tools who love to spend their days unlocking secrets held by data sets and exploring new possibilities presented by the IoT, machine learning, and artificial intelligence advances.
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Apply a variety of data science techniques to tackle customer challenges to include machine learning, generative AI, natural language processing, computer vision, reinforcement learning, statistical modeling, mathematical optimization, and data visualization.
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Participate in integrated and strategic pedagogical efforts to meet student learning outcomes, whether in BA in Theology program, BA in Religion program, General Education Religion curriculum, or regarding the university learning objectives.
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2+ years of education or experience in at least one technical area related to next-generation wireless communications including 5G, 6G, ORAN, and LED satellites; advanced computing, including quantum, artificial intelligence/machine learning, and high performance computing; biotechnology, including neuroscience, human DNA forensics.
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Basic to substantial experience in one or more of the following commercial/open-source data discovery/analysis platforms: RStudio, Spark, KNIME, RapidMiner, Alteryx, Dataiku, H2O, SAS Enterprise Miner (SAS EM) and/or SAS Visual Data Mining and Machine Learning, Microsoft AzureML, IBM Watson Studio or SPSS Modeler, Amazon SageMaker, Google Cloud ML, SAP Predictive Analytics.
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LMI is seeking a seasoned Lead Data Scientist to spearhead the development, testing, and deployment of machine learning (ML) models. Deep knowledge and practical experience with delivering sophisticated data analysis and machine learning solutions using Python.
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Examples will include techniques such as machine learning (ML) supervised and unsupervised learning, regression, neural networks and deep learning, natural language processing, etc.
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Implementing and validating predictive and prescriptive models, creating and maintaining statistical models with a focus on big data and incorporating machine learning techniques in your projects.
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Position:Monitoring, Evaluation and Learning Manager – Integrated Land and Resource Governance II Location: Washington, DC Metro Area Position Status: Proposal, Full-time, Regular About DAI DAI works at the cutting edge of international development, combining technical excellence, professional project management, and exceptional customer service to solve the most complex development problems.
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Your innovative approach will harness machine learning and artificial intelligence to deliver impactful solutions, enabling customers to make informed, data-driven decisions through prototypes and scalable production systems.
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KMI is a Minority Business Enterprise (MBE) and Small Disadvantage Business (SDB) that specializes in Logistics, Warehouse Services, Distance Learning/Training, Enterprise Solutions, Financial Management Support, Program Management, Intelligence Analysis & Threat Assessment, and Data Analytics/Operations Research.
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The Special Education Teacher/Learning Specialist is a member of the school's instructional staff and Academic Unit. Essential Functions & Accountabilities: Develops solid knowledge of the Montessori Learning Standards, Curriculum Maps, Scope and Sequence and all other grade-level curriculum in each content area taught, including the essential information, concepts and skills so as to better support students and assist classroom teachers.
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Your expertise in data science, statistical modeling, and machine learning will be critical in developing and executing strategies that optimize data collection and streamline recommendations for our customer.
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Key job responsibilities•Lead the development and execution of a comprehensive utilities strategy for AWS data centers for new and Machine learning regions•Manage multiple Utilities, EPC and Owner's Engineers to deliver MV and HV power infrastructure, including negotiations and contracting.
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Capable of learning principles of all construction disciplines, to include Civil, Architectural, and Mechanical, Electrical, and Electronic Engineering. We are actively seeking experienced Part-Time On-Call Cleared Surveillance Technicians (CST) to attend training to support the U.S. Department of State’s development, implementation, and execution of the Construction Security Monitoring Program.
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learning job Title: sr data scientist Company: Verizon in Arlington, VA
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