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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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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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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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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 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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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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Qualifications Education and Experience PhD degree in applied mathematics, data science, physics, computer science, engineering, statistics, economics or a related field required; comparable work experience may be substituted for the PhD degree.
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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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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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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.
$165,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Master's or Doctoral degree in Computer science, Computer Engineering, Electrical engineering, Mathematics, or a similar field. Bachelor's degree in Computer Science, Computer Engineering or a technical field.
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QualificationsBasic Qualifications: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.
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Bachelors Degree in Computer Science, Computer Engineering, Electrical Engineering, Applied Mathematics, Physics, or related scientific/engineering discipline. computer science, electronic, information technology, matlab, processor, robotics, schematic.
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Demonstrated experience embracing and participating in a culture of knowledge sharing to broaden the understanding of: o advanced methods or o niche statistical methods and o data science analytic methods and o coding techniques to include fundamental understanding of model/formula strength, limitations, warnings and weaknesses when applied in various scenarios.
$170,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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San Francisco, California (Hybrid On-Site): $174,900 - $199,700 for Senior Machine Learning Engineer. New York City (Hybrid On-Site): $165,100 - $188,500 for Senior Machine Learning Engineer. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI.
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applied science jobs in Cabin John, MD
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