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Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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Education Preferred: PhD in Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Science, Engineering, Computer Science, Statistics, Computational Biology, or related field.
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BS degree or equivalent experience in Systems Engineering, Electrical Engineering, Aerospace Engineering, Mechanical Engineering. MS degree or equivalent experience in Systems Engineering, Electrical Engineering, Aerospace Engineering, Mechanical Engineering.
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Advanced degree from an accredited program in in Remote Sensing, Imaging Science, Astronomy, Physics, Mathematics, Atmospheric Science, Computer Science, Optical or Electrical Engineering, or another related discipline.
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We are seeking a highly skilled and motivated Water Resources Engineer with expertise in hydrology and a strong understanding of data analysis and statistics. The Water Resources Engineer will collaborate on interpreting data, coordinating analysis efforts, and deriving insights that inform resiliency planning and decision-making in water resources management.
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Bachelor's degree (or foreign education equivalent) in Computer Science, Computer Information Systems, Computer Information Systems and Information Technology, Engineering, Information Technology, Mathematics, Physics or a closely related field and three (3) years of experience as a Senior Data Engineer (or closely related occupation) performing Informatica ETL and Oracle database development to support HR data engineering capabilities in a financial services environment.
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Basic Qualifications for Principal Level: Bachelor’s degree or higher in Computer Science, Computer Engineering, Electrical Engineering or other STEM (Science, Technology, Engineering or Mathematics) discipline with 5 years of software engineering experience (3 years for MS degree, 0 years for PhD) US Citizenship is required The ability to obtain and maintain a DoD Secret clearance is required.
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Responsibilities:Enterprise Data Engineering Delivery:Oversee the design, development, and management of scalable and reliable data engineering solutions that support data products deployment for use in advanced analytics, data science, and AI initiatives.
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Electrical Engineer Position Summary Electrical Engineer supports the Department of Energy (DOE) Western Area Power Administration (WAPA) Sierra Nevada Region (SNR) in Folsom, CA. The Electrical Engineer supports SNR’s telecommunications infrastructure including networks, systems, equipment, facilities, and data according to WAPA standards, policies, and procedures.
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Our researchers have a broad range of expertise related to computer science and electrical engineering, such as AI/ML, algorithms, digital signal processing, audio engineering, image processing, computer vision, data science & analytics, distributed systems, cloud, edge & mobile computing, computer networking, and IoT.
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Must have at least a bachelor’s degree and currently enrolled in a Master or Ph. D. program in Data Science, Computer Science, Electrical Engineering, Biomedical Engineering, or a related field with focus on machine learning, deep learning, computer vision, or similar; w.
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Basic Qualifications for Principal Electrical Engineer (Integration): Bachelor’s degree in a STEM field with 5 years of relevant engineering experience; OR a Master’s degree in a STEM field with 3 years of relevant engineering experience; OR a Ph D in a STEM field with 0 years of relevant engineering experience.
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BS, MS, or PhD in an engineering/quantitative field, such as computer science, electrical engineering, mechanical engineering, pure or applied sciences (math, physics.
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Demonstrated professional experience in advanced Data Science domains such as predictive modeling, Large Language Models, machine learning, text mining, and/or data engineering.
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3 years of related experience with a Masters' degree in Physics, Applied Physics, Quantum Physics, Chemistry, Chemical Engineering, Mechanical Engineering, Electrical engineering, Computer Science, Engineering, Materials Science.
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data science engineer electrical engineering jobs Title: senior data engineer in NY, United Kingdom
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