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OR BS degree in Electrical Engineering, Materials Science, Physics, or a related field, with a concentration in microelectronics, optoelectronics, electronics, or physics. Associate degree in Electrical Engineering, Materials Science, Physics, or a related field, with a concentration in microelectronics, optoelectronics, electronics, or physics, and a minimum of three years of experience.
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The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation's most critical defense, security, space and science challenges. We are actively seeking a Hybrid Assembly and Microelectronics Packaging Engineer, for the Advanced Electrical Fabrication Group.
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Degree in Materials Science and Engineering, Physics, Chemistry, Polymer Science, Mechanical Engineering or Electrical Engineering. A qualified candidate will have experience in RF microelectronics packaging processes, direct write/additive manufacturing techniques, and related materials and processes.
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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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Tasking will be assigned to leverage the existing skills of the candidate, to include physics-based modeling, application of advanced mathematical techniques for data processing, digital signal processing, image processing, signals analysis, radar system modeling, and radar performance prediction.
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Understanding of microelectronics principles, semiconductor physics, electronic circuits, and devices to analyze data in the context of microelectronic systems. For further inquiries regarding the following opportunity, please contact one of our Talent Specialist Sony | (630) 847 1417 Dipankar | (224) 507 1264 Title: Microelectronics Data Analyst (Remote) Duration: 1 to 2 months Location: Remote (Work from home) Position Overview: Our client, a company specializing in government contracts in the microelectronics sector, is seeking a skilled Microelectronics Data Analyst to join their team on a remote basis.
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Knowledge of physics-based modeling (e.g., ANSYS) Experience with Trusted and Assured Microelectronics. This can include system failure analysis, full systems engineering, FPGA/ASIC/Digital Design, Semiconductor manufacturing, and anti-tamper solutions to address global security threats for our government customer.
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With an eye on the future and in response to national priorities, PPPL also has begun a strategic shift from a singular focus on fusion energy to a multi-focus approach that includes microelectronics, quantum information science, and sustainability science.
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Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science.
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Science or engineering background in a relevant field, i.e. BS, MS in materials science or engineering, mechanical engineering, powder metallurgy, nanotechnology, applied physics, chemical engineering, or related field.
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Bachelors of Science in Electrical Engineering, Chemical Engineering, Materials Engineering, Chemistry, Physics or other related technical discipline with 5 years of relevant experience (3 years with a MS, 0 with a PhD.
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We specialize in the design of low-vibration and low-noise buildings for the microelectronics, nanotechnology, imaging, and research communities, and are seen as a leader in this environment. Applicants should have a BS degree or higher in disciplines such as acoustics, civil/structural engineering, mechanical engineering, or physics, with a MS degree preferred.
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And/or Science discipline such as Materials Science, Physics, Optics, Photonics. 1+ years of experience in advanced data analysis (using JMP, GAJT and/or SQL), statistical process control (SPC), and design of experiment (DOE) principles.
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Solid knowledge of analytical chemistry, materials science & physics, and familiarity with semiconductor device materials, structures, and metrology. Bachelor of Science in chemistry, physics or engineering or related field required, M.S. or Ph. D. preferred.
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The position will involve computer modeling for vibration and acoustics analyses, which could include finite element analysis (FEA) of structural systems, building acoustics modeling and ray tracing, and/or environmental noise modeling.
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microelectronics physics data science jobs Company: Kbr
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