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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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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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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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The School of Engineering and Applied Science, including BME, occupies the 500,000 square-foot Science and Engineering Hall, featuring a state-of-the art imaging facility, nanofabrication facility, and other modern BME research and instructional laboratories.
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This is an individual contributor (IC) role driving strategic direction through collaboration with Applied Science, Engineering and Product leaders across Capital One. As a well-respected IC leader, you will guide and mentor a team of applied scientists and their managers without being a direct people leader.
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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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Master's degree in Statistics, Operations Research, Applied Mathematics, Economics, Data Science, Business Analytics, Computer Science, or a related field and 1 year of experience in the job offered or in a Data Scientist-related occupation.
$113,000 - $159,550 a yearFull-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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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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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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The School of Engineering and Applied Science (SEAS) at Gonzaga University in Spokane, WA, invites applications for a full-time, tenure-track faculty position beginning Fall 2025 at the level of Assistant Professor.
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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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Bachelor’s degree required in Operations Research, Applied Mathematics, Statistics, or equivalent STEM degree preferred. Data Science, Data Analytics, Artificial Intelligence, Machine Learning.
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Qualifications: High School Diploma or GED. Associate degree in applied science preferred. As the medical education and clinical partner of Georgetown University for more than 20 years, MedStar Health is dedicated not only to teaching the next generation of doctors, but also to the continuing education, professional development, and personal fulfillment of our whole team.
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Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. 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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applied science jobs in Alexandria, VA
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