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Job Description Solis Applied Science is seeking Senior level Geospatial Analyst professionals with experience focused on digital cartography and image processing. Ability to brief Seniors to influence decisions Serve as the team lead for the junior contractor FTE’s , About Solis Applied Science Solis Applied Science (Solis), a Service-Disabled Veteran-Owned Small Business, was founded in 2016 by remote sensing experts, with deep-rooted academic, federal, military, and industry applied science backgrounds.
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The RoleWe have the opportunity for a Senior Engineer to join our Applied Science Practice with a focus on Fire Dynamics and CFD modeling. Our Applied Science practice leverages a unique combination of technologies and expertise to engineer practical solutions to problems of national and international importance.
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Research experience and experimental background in one or more of the following areas: quantum optics, quantum entanglement, photonics, quantum communications, quantum information science, quantum sensing, and/or quantum computing.
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Bachelors Degree in Computer Science, Computer Engineering, Electrical Engineering, Applied Mathematics, Physics, or related scientific/engineering discipline. electronic engineering, information technology, matlab, optical, photonics, python, schematic, software engineer.
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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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You will serve as a member of the Senior Executive Service (SES) as the Superintendent of the Electronics Science and Technology Division at the Naval Research Laboratory (NRL) in Washington DC. The Electronics Science and Technology Division is a major center for in-house Navy and the Department of Defense basic and applied research in electronics.
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Bachelors Degree in in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, Computer Science or related fields if accompanied by a Certificate in Data Science from an accredited college/university.
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The successful candidate will join the college’s Department of Behavioral and Social Sciences and its Human Factors program, where they will also assist in launching the new Bachelor of Science in Human Factors Psychology degree program.
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The candidate may also be asked to contribute to teaching in the graduate programs (MS in Exercise Physiology/Strength & Conditioning, MPH in Physical Activity and/or the PhD in Exercise Physiology and Applied Nutrition programs.
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We are looking for a passionate, talented, and resourceful Senior Applied Scientist in the field of Natural Language Processing (NLP), Large Language Model (LLM), Recommender Systems and/or Information Retrieval, to invent and build scalable solutions for a state-of-the-art context-aware personal assistant.
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We are seeking an engineer with a technical background in one of the following disciplines: systems engineering, applied operations research, modeling and simulation, RF and satellite communications, artificial intelligence and machine learning (AI/ML), or applied data analytics.
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Master’s or PhD degree in Computer Science, Statistics, Economics, Engineering, Applied Mathematics or related quantitative field; or equivalent related professional experience. Minimum 4 years of relevant work experience in applied machine learning and deep learning.
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We leverage our collective and diverse experience, technical expertise, and industry knowledge of structures and building enclosures, advanced analysis, code consulting, and applied science & research to deliver unrivaled, comprehensive solutions that drive superior performance.
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PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields. This is a people manager role that will lead teams to drive strategic direction through collaboration with Applied Science, Engineering and Product leaders across Capital One. As a well-respected people leader, you will guide and mentor a team of applied scientists.
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MITRE’s Data Science department (L172) is looking for qualified applicants to bring their machine learning, advanced analytics, and applied research skills to bear on solving problems of critical national importance.
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applied science jobs in Mclean, VA
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