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Experience with the development of measurement systems including with computer programming for data acquisition (e.g., using Python, Matlab, or LabVIEW) is also desired. Job Description The Quantum Information and Integrated Nanosystems Group seeks an engineering assistant to aid in the development of next-generation photonic integrated circuit (PIC) devices and systems, especially those for trapped-ion based quantum computing and sensing.
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Should be competent with at least one numerically focused programming environment such as Python or Matlab using the native linear algebra, image processing, and machine learning libraries. This individual will apply their skills in machine learning, image processing, computer vision, mathematics, optics, and software engineering to develop algorithms to be integrated into onto’s innovative inspection platforms.
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Experience with any of the following tools: Mentor Graphics Designer, PSPICE, System Vision, MATLAB, Mathcad, IDL, Computer Simulation Technologies (CST), Microwave Design Studio, High Frequency Structure Simulator (HFSS), Advanced Design System (ADS), Signal Generator, Oscilloscope, and Spectrum Analyzer.
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Preferred Qualifications: PhD in Biomedical Engineering/Computer Science with Signal/Image processing or Algorithm/Method Development background Experience with Impedance Tomography and/or navigation algorithms Excellent communication and presentation skills, capable of conveying technical information in a clear and thorough manner Familiarity with lab equipment (signal generator, oscilloscope, LabView, etc.
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Experience one or more tools such as MagicDraw, DOORs, MATLAB/Simulink, Python. Roles may require proficiency with modeling and simulation, computer language coding, descriptive modeling (e.g. SysML), STPA, and/or other engineering analysis tools.
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You have experience with one or more modeling and simulation tools such as: MATLAB, Systems Tool Kit (STK), AFSIM, R, GNU Octave, etc. Typically requires less than 1 year of related experience with a Bachelor's degree (or currently pursuing) degree in Computer Engineering, Computer Science, Electrical Engineering, Systems Engineering, Mathematics, Physics or similar field, or equivalent combination of related education and work experience.
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Excellent coding skills in MATLAB/Simulink and publication records are necessary. Ph. D. students in robotics, computer science, control, electrical engineering, or related areas are encouraged to apply.
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Experience with finite element analysis, MATLAB, Python, and/or other computational modeling tools or computer languages is a plus. Experience with finite element analysis, MATLAB, Python, and/or other computational modeling tools or computer languages is a plus.
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Bachelor, Masters, or PhD in Computer Science, Electrical/Computer Engineering, Robotics, Aerospace or related discipline. Comfort with numerical programming tools for data analysis (Python, Julia, Matlab, Tableau, etc.
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Signal/Power integrity simulation experience with Matlab, PowerSI, SIwave, HFSS, etc. The applicant should be familiar with computer system architecture and digital design. Signal/Power integrity simulation experience with Matlab, PowerSI, SIwave, HFSS, etc.
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Computer programing experience, including experience with Linux/UNIX systems, python/bash scripting, and/or scientific computing software (e.g. MATLAB, Python, R) is preferred but not required.
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Required skills: A Ph. D. in Bioinformatics, Computational Biology or Computational Chemistry (focus: molecular dynamics, biophysics, and machine learning), Statistics, Mathematics, Computer Science, Applied Engineering, or a related quantitative discipline Fast learner, analytical thinker, creative, "hands-on" team player.
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We're particularly interested in candidates with a background in Electrical Engineering, Computer Engineering, Mathematics, Computer Science, or a related field, who bring a strong foundation in signal processing techniques.
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Master's degree or foreign degree equivalent in Biomedical Engineering, Molecular Biology, Biology, Computer Science, or related field of study plus 3 years of experience in product development, or in any occupation in which the required experience can be obtained, or related experience.
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MS in Electrical engineering, computer engineering or similar with 10+ years specific hands-on experience with DSP development, implementation and testing on multiple projects. Very proficient in using MATLAB for DSP signal analysis.
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