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PhD or equivalent level degree in computer science, computer engineering or related field involving artificial intelligence, human behavior modeling, natural language processing, machine learning, multi-agent systems, deep learning, agent-based social simulation, data analytics, intelligent user interfaces, complex adaptive systems, decision support systems, learning technologies, augmented reality, virtual reality, simulation, robotics, data fusion, and/or game development.
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Cytokinetics is dedicated to advancing the frontiers of technology through the strategic application of artificial intelligence, machine learning, image analysis, and computational biology and chemistry.
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Using advanced analytic techniques such as machine learning, natural language processing, robotics process automation, artificial intelligence, text and/or data mining, and statistical and mathematical methods.
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Roles and Responsibilities: Conducting cutting-edge research in the fields of artificial intelligence, machine learning, and robotics, specifically as they relate to autonomous vehicle technology.
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Technical expertise and focus in the AML is applied to fundamental chemistry of organic and inorganic synthesis, material processing for property-performance optimization, proto-type design engineering for structural-electronic functionality, with an emphasis on expanding autonomous material discovery and informed design enabled by machine learning.
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PhD in Chemistry, Artificial Intelligence, Machine Learning, Data Science, Material Science, or a closely related field. Employ advanced AI and machine learning models, including deep learning and predictive analytics, to identify novel materials and predict their performance within battery systems.
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Responsible to advance NOAA’s use in digital transformation Artificial Intelligence (AI) and Machine Learning (ML) techniques, working with the enterprise stakeholders as they tackle data management, integration, dissemination, warehousing, and governance to manage the complexity of critical mission data for actionable insights and decision making.
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Our mission is to accelerate the transition to sustainable energy by leveraging the power of artificial intelligence and material science. Proficiency in Python, TensorFlow, PyTorch, and relevant computational chemistry tools.
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3-5 years of experience building and implementing artificial intelligence, neural networks, deep learning, or machine learning capabilities in software applications in a national security or academic environment.
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You will be responsible for developing, improving and experimenting with methodologies and algorithms to support these efforts, using machine learning, deep learning, artificial intelligence and natural language processing techniques.
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Keywords: AI, Artificial Intelligence, Consultant, Government, Secret Clearance, Top Secret Clearance, TS/SCI Clearance, Department of Defense, DoD, Air Force, Pentagon, Defense Contractor, Machine Learning, Data Science, Natural Language Processing, Computer Vision, Deep Learning, Algorithm Development, Security Clearance, Government Contracts, Federal, Defense, Cybersecurity, Analytics, Big Data, Software Development, Programming, Python, Java, C.
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Artificial Intelligence (AI), Big Data, Cloud Computing, Computer Coding, Critical Thinking, Machine Learning, Microsoft Power BI, Model Building, Problem Solving, Python (Programming Language), Statistical Analysis.
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What you would do as a Machine Learning Engineer: Reporting to the Commercial Development Manager, you would work in parallel with the Openings Studio software engineers, Openings Studio Product Owner and divisions to identify technical opportunities for growth in future-forward areas (e.g. machine learning, artificial intelligence, etc.
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Our core technical competencies include system-level modeling and gap analysis, advanced sensing and signal processing, machine learning and artificial intelligence, computational modeling, hardware and software prototyping, model-based systems engineering, establishing measures of performance, and human data collection in laboratory and field environments.
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We are on the forefront of CBRN defense and we are looking for talented Data Scientists that have applied experience in the fields of artificial intelligence, machine learning and/or natural language processing to join our team.
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