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SimVentions is a 100% employee-owned business and has consistently been voted one of Virginia's Best Places to Work. We are actively seeking a highly skilled and motivated Software Engineer with interest in Artificial Intelligence (AI) and Machine Learning (ML) to join our innovative development team.
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The Data Science team at Meijer leads the strategy, development and integration of Machine Learning and Artificial Intelligence at Meijer. Build production ready prototypes for, and iteratively develop, end-to-end data science pipelines including custom algorithms, statistical models, machine learning and artificial intelligence functions to meet end user needs.
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Position Summary:As a research scientist specializing in machine learning, you will identify, shape, apply, conduct, and lead research that matches critical U.S. government needs. Desired Experience:Research practices and publications: You have a track record of conducting research in machine learning and artificial intelligence.
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The Department of Homeland Security (DHS) is recruiting professionals to support a range of developmental roles in Cybersecurity Data Science, including Data Scientist, Artificial Intelligence (AI) Specialist, AI Operationalization Analyst, Data Modeler, Data Security Analyst and Operations Research Analyst.
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SRI's Artificial Intelligence Center (AIC) advances the most critical areas of AI and machine learning. The Computer Scientist will conduct basic and applied research in the areas of machine learning, computer vision and signal processing, with an emphasis on multimedia integrity and the security of machine learning systems.
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Statistical analysis (e.g., variability, sampling error, inference, hypothesis testing, EDA, application of linear models) Data management (e.g., data cleaning and transformation) Data mining Data modeling and assessment Artificial intelligence (and/or software engineering) Physical RequirementsMay require working in an office, industrial, shipboard, or laboratory environment.
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Apply knowledge of statistics and mathematical theory to develop and integrate new and emerging technologies, such as machine learning and deep learning concepts and techniques. Analyzing and defining data requirements and specifications using various tools and methodologies (e.g., Statistical Package for Social Sciences [SPSS], Statistical Analysis System [SAS], R Analytics, Statistics and Data [STATA]) to discover new patterns and behaviors providing DHS Headquarters (HQ) and/or Component stakeholders actionable recommendations.
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As the Senior Scientist of Computer Vision in Translational Data Science, you will be at the forefront of applying artificial intelligence (AI) to revolutionize our understanding of disease biology and the mechanisms of our therapeutic interventions.
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Using various tools (e.g., SPSS, SAS, R, STATA) and methodologies for analyzing and interpreting complex data to discover new patterns and behaviors and provide usable information to decision makers and other users.
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Using data visualization tools (e.g., R, Tableau, Flare, Google Visualization Application Programming Interface [API], RGIS) to design charts and exhibit graphic representations for the purposes of providing actionable recommendations to critical leadership officials and stakeholders.
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Design, build, implement, integrate, and maintain systems and tools for data trend and pattern analysis of cyber data. Building and applying an understanding of cybersecurity data management to develop data standards, policies, and procedures facilitating and implementing data mining and data warehousing programs to collect, clean, convert and standardize complex data for analysis.
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This announcement is being used to fill the Data Science Talent Pool. By applying to this job announcement, you are opting to be part of the DHS-CS Talent Pool for ongoing consideration for employment for relevant open jobs and will remain eligible for consideration for up to one year from the date of completion.
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Demonstrated experience applying machine learning and deep learning algorithms to medical imaging analytics including CT, MR, and/or PET scans; experience in additional imaging domain (H&Es, IHC) a plus.
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Extensive knowledge of one or more of the following: Technology Prototyping, Hardware/Software Design, Development and Testing, Material Sciences, Microelectronics, Autonomous Systems, Modeling & Simulation, Artificial Intelligence, Machine Learning, and CBRN Defense and Sensing.
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8 years progressive, responsible work experience in Lead Data Scientist, Senior Business Analyst, Business Data Analyst, Senior Data Scientist, Research Scientist, Artificial Intelligence Engineer, or combination.
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