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Adjunct Faculty teach one or more courses on the following subjects (with current syllabi available at [ Artificial intelligence; Cryptography; Data mining and machine learning; Graphics and visual computing; Information and software security; Information systems; Networks; Programming languages; Software engineering; Systems; Theoretical computing; and User experience design.
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Marks/tattoos appropriate body anatomy for daily re-positioning on linear accelerator; Documents or captures patient measurements and machine treatment parameters for dosimetry planning and calculations; Acquires Computed Tomography machine data sets for patient positioning, contours and set-up parameters.
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Proficiency in key econometric and statistical techniques (such as predictive modeling, logistic regression, survival analysis, panel data models, design of experiments, decision trees, machine learning methods.
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Currently ManTech is seeking a motivated, career, and customer-oriented Human Capital Data Scientist – Workforce Analytics to join our team in Springfield, Virginia. Utilize and develop queries and reports from the HRIS system (PeopleSoft), CAVE, and Cognos using appropriate data science and business intelligence tools (Python, R, SQL, Tableau, Microsoft Office,); and analyze data using descriptive (e.g., means, percentages) and inferential statistics (e.g., ANOVA, t-test, regression modeling techniques.
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Experience using data and analytic tools such as: PowerBI, Databricks, SQL, Python, R, or Tableau. This role will be a member of the Technical Operations Risk & Governance team - a diverse group of data analyst, privacy analyst, and program managers that will assist in enabling and supporting our business line groups within Digital.
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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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Responsibilities Responsibilities:Lead the adoption and integration of cutting-edge data technologies, including AI, machine learning, and data analytics, to enhance business intelligence, operational efficiency, data democratization, and self-service.
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Education: Bachelor or Master' Degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or equivalent experience in lieu of degree. Deliver simple solutions to complex problems as a Machine Learning Engineer at GDIT. Here, you'll tailor cutting-edge solutions to the unique requirements of our clients.
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Apply machine learning, econometrics/statistics, predictive modeling, return-on-investment analysis, simulation, and data visualization methods to support the development of health policy.
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Partners with Social Services Specialist III (SSS III) and/or Statistical Data Specialist II (SDS II) to spearhead initiatives aimed at improving data collection and improving case practice, and documentation of work processes/workflow.
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Familiarity with and ability to architect solutions using a broad range of AI techniques including (but not limited to) Data Science, Analytics, Autonomy/Autonomous Systems, Machine Learning, Deep Learning, Reinforcement Learning, NLP, and Generative AI/LLMs.
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Position Description:IDS is seeking a motivated and proactive individual to fulfill the role of Business Data Analyst to work Army acquisition data and provide analytical support to the Office of the Deputy for Acquisition and Systems Management (DASM) within the Assistant Secretary of the Army for Acquisition, Logistics and Technology (ASA(ALT.
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The Data Engineer will be responsible for guiding the design, development, of our Data with a specific focus on Azure Data Factory, ADLS pipelines, AWS Glue, AWS pipelines to support Pega Marketing systems capabilities and on integrating data from Teradata, other external source, and applications into high performing operational Hubs, Data Lake and Microsoft SQL Server.
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Excellent technical credentials in various subfields relevant to AI (e.g., Data Science, Data Engineering, Machine Learning, Deep Learning, Generative AI, Computer Science.
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As the Facilities and Data Center Technician III, you must possess an expert level of knowledge and will be responsible for the operational integrity and regulatory compliance of the facilities and data center electrical, mechanical, fire life safety systems, and communications infrastructure.
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machine data mining jobs Title: machine learning scientist in Vienna, VA
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