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Educational/Experience Requirements:Masters or PhD in Electrical Engineering, Physics, Image Science, Remote Sensing, Optics, or other Physical Science or Engineering degree is required.
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Hands-on experience with technology such as sensors and signal processing, machine vision and machine learning, and internet-of-things type technology. Knowledge of autonomous sensor deployment and AI-driven machine vision.
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The Research Associate Professor provides leadership in workforce development research, especially in the national security space to the College of Engineering and Computing (CEC). Additionally, as a technology leader, strategist, change agent, and innovator, the incumbent advises and supports the CEC Associate Dean for Research (ADR) on engineering workforce development research and related areas.
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In this role, you will use 2-D/3-D computer-aided design (CAD) to develop designs for electrical engineering such as earthwork, drainage, road design, and foundation. Electrical Physical Design (and circuit and raceway.
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The RoleThe Risk Data Science team is looking for a Data Scientist to develop advanced machine learning models, guide measurement, strategy, and data-driven decision making to support various risk and operational areas at SoFi. The Data Scientist will work closely with Risk, Product, Engineering, and Operations teams to design solutions for loss mitigation.
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A master’s or PHD degree in electrical engineering - Proficiency in hardware description languages (Verilog, VHDL) and FPGA development tools (Xilinx Vivado, Intel Quartus, etc. Qualifications: - Bachelor’s degree or higher in Electrical Engineering, Computer Engineering, or related field.
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Prior experience with high-speed digital interfaces, signal processing algorithms, or embedded systems development is a plus. – Familiarity with FPGbased development boards and prototyping platforms.
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Develops designs for complete and complex electrical engineering systems such as earthwork, drainage, road design, foundation, and steel detailing with minimum supervision from which detailed scale models and/or construction drawings are completed.
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Bachelor's Degree must be in Network Engineering, Systems Engineering, Information Technology, or related field (e.g., General Engineering, Computer Engineering, Electrical Engineering, Computer Science, Computer Forensics, Cyber Security, or Software Engineering) with 5-7 years of experience.
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Working knowledge of engineering, 3D modeling, and geospatial analytical tools to include AutoCAD, ArcGIS, MatLab, SketchUp, Skyline Software, RemoteView, etc. Research and Development of new tools and methodologies to understand and reverse engineer processes and support systems at remote WMD-related facilities.
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Performing various aspects of Transportation design as directed by a licensed Transportation Engineer or Senior Transportation Engineer including analysis and design involving interstates and interchanges, urban and rural roadways, multimodal improvements, traffic engineering, site grading, storm water management, erosion control, and site plan preparation, and design related to a business development activity such as a response to a Request for Proposal (RFP.
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Certifications and specialization in IT Ops, Infrastructure, APM, Data Engineering, Machine Learning, Data Infrastructure. Work closely with the Elastic Engineering, Product Management, and Support teams to identify feature enhancements, extensions, and product defects.
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Masters of science in RF engineering, electrical engineering, physics, or related discipline. Bachelor's of science in RF engineering, electrical engineering, physics, or related discipline.
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Bachelor's or higher degree in Electronics, Electrical Engineering, Mechanical Engineering, Mechanics, Mechatronics Engineering, or equivalent fields. Provides technical support to the manufacturing equipment repair and process engineering organizations.
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Masters or PhD in Electrical Engineering, Physics, Image Science, Remote Sensing, Optics, or other Physical Science or Engineering degree is required. We apply advanced technologies such as Digital Signal Processing, Analytics, Machine Learning, Artificial Intelligence, and Cloud computing to solve our customer and mission challenges.
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electrical engineering machine product development jobs Company: Apple in Chantilly, VA
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