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Degree: Bachelor’s or Master’s degree in a relevant discipline (e.g., Computer Science, Engineering, Information Systems, Information Technology, Internet of Things, Quantum, Applied Math, Data Sciences, Decision Science, Machine Learning, or other technology majors.
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Bachelor’s Degree required from an accredited, not for profit university or college, with degree preferably in Computer Science, Data Science, Statistics, Machine Learning, or Mathematics.
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Job Description Support GDIT's FedCiv business areas by developing solutions to deliver capabilities, focusing on Data Science, Machine Learning, and emerging artificial intelligence (AI) capabilities.
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PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields. 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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A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects.
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At least 10 years of industrial/academic experience advancing the state-of-the-art machine learning-based research through demonstrable, verifiable technical results in the area of natural language processing, human language understanding, computational linguistics.
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4-6 years of experience in machine learning, artificial intelligence, and data science. As a Data Scientist at our client, you will play a crucial role in developing and implementing state-of-the-art machine learning models for use cases in traffic safety, mobility, and city planning.
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Translational science, real-world data/evidence, artificial intelligence, or machine/deep learning; Data science or data management; Pharmacoepidemiology, biostatistics, or programming; Translational, observational, or health research; Health care, terminology, and communication; Health and data science ethics and equity, including diversity and inclusion; or Interprofessional teams and professional skills.
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Our digital ecosystem combines the power of technology to create beautiful smiles through the integration of AI and machine learning, digital imaging and visualization, biomechanics and material science to develop the Invisalign system, the most advanced clear aligner system in the world; iTero Intraoral Scanners andOrthoCADdigital services.
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Our high performing team works with clients to implement the full spectrum of data analytics and data science, from data architecture and storage to data engineering and querying, to data visualization and dashboarding, to predictive analytics, machine learning, and artificial intelligence.
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3+ years’ experience working with projects involving machine learning, natural language processing, robotics process automation, artificial intelligence, text and/or data mining, as well as statistical and mathematical methods.
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DLH delivers improved health and national security readiness solutions for federal programs through science research and development, systems engineering and integration, and digital transformation.
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Amida is currently looking for a Data Engineer to join our team in Washington, DC. In this role you will work across our client engagements, providing expertise in machine learning algorithms, natural language processing (NLP), data collection, data analysis, data mapping, data profiling, data mining, data modeling, and data visualization.
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The Chief Scientistshould have experience across one or more important technologies in the sensor technology space, which includes signal processing, acoustic, RF and EO/IR hardware, machine learning/artificial intelligence, system integration, field testing, data collection, missions and CONOPs, open architectures and software development, along with a proven track record of delivering quality results to customers in the Department of Defense (DoD) and Intelligence Communities (IC.
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The candidate will also provide quantitative/qualitative analysis of technologies as well as serving as Subject Matter Expertise in technical areas of Artificial Intelligence (AI)/Machine Learning, Intelligence, Surveillance and Reconnaissance (ISR) & Electromagnetic Warfare (EW), Space and Stratosphere, Information Operations, Hypersonics, and/or Demonstration and Experimentation.
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machine learning applied science jobs Title: manager in Arlington, VA
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