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PhD in a relevant field, including: Statistics, Mathematics, Data Science, Computer Science/Engineering, Electrical Engineering, Medical Informatics, or a degree related to Biology with substantial experience in computational and statistical work.
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Use analytic methods and advanced knowledge in machine learning, statistics, text mining, natural language processing, computational semantics, computer vision, and data science to develop creative solutions to complex real-world problems.
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Use advanced knowledge in machine learning, statistics, text mining, natural language processing, and computational semantics, computer vision, and data science to develop creative solutions to complex real-world problems.
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This role is part of the team focused on deploying new and emerging capabilities to out our next generation cloud-based HR, Payroll, analytics, and machine learning platform. Additional preference for Oracle certifications in any of the following cloud products: Benefits, Compensation, Payroll, Absence Management, Talent Management, Learning or Recruiting Cloud.
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Direct experience in support of biomedical research with cloud computing, high performance computing, artificial intelligence/machine learning, and the engineering of software for scientific use.
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Either a doctoral-level degree in biomedicine or a biological related field, or a master's level or higher degree in engineering, bioinformatics, or another field related to data science.
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The engineer will implement machine learning methodologies, identify trends within cyber data, work with data science models, integrate machine learning models into software, and collaborate with cross-functional team members.
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Extensive use of Microsoft Office business systems such as ProjectWise, electrical engineering software, such as ETAP, and Computer Aided Drafting Tools, such as AutoCAD to view and manipulate engineering drawing files.
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Technical background: Electrical Engineering, Computer Science, Mechanical Engineering, Chemical Engineering, Organic Chemistry, Molecular Biology. Industry / Arts distribution of your book (electrical, software, mechanical, chemical, biological, etc.
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B.S. Degree in a quantitative or analytical field such as Computer Science, Mathematics, Economics, Statistics, Engineering, Physics, or Computational Social Science; or Master-s degree or equivalent graduate degree including certificate-based advanced training courses.
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A. Degree: major study of at least 24 semester hours in oceanography or a related discipline such as physics, meteorology, geophysics, mathematics, chemistry, engineering, geology, or biology, plus 20 additional semester hours in any combination of oceanography, physics, geophysics, chemistry, mathematics, meteorology, computer science, and engineering sciences.
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With experts in biomedical science, software engineering, and program management, we focus on developing and applying research tools and techniques to empower decision-making and accelerate research discoveries.
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Bachelor's degree from an accredited institute, (preferably in Mathematics, Information Technology, Computer Science, Engineering, Business Administration, or Project Management.
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Basic Requirements: A. Degree: geography; or related physical or social science such as geology, meteorology, economics, statistics, sociology, anthropology, political science, history, cartography, computer science, urban studies, or planning that included at least 24 semester hours in geography or related fields.
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Civilian Health Solutions uses a wide range of capabilities in Digital Modernization, Mission Software Systems, and enabling technologies like Artificial Intelligence and Machine Learning to support our customers’ mission in advancing biomedical research and protecting public health.
$122,200 - $220,900 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago
machine learning computer science electrical engineering jobs Title: senior machine learning engineer in Rockville, MD
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