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Intellisense primarily uses COMSOL, ZEMAX, Matlab/Simulink, C/C. PhD in Photonics, Applied Physics, Optical Engineering, Electrical Engineering, or related field. Intellisense primarily uses COMSOL, ZEMAX, Matlab/Simulink, C/C.
$106,000 - $149,000 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Matlab, Verilog, ARM); knowledge of electrical engineering principles as applied to audio engineering, mixed signal, and power electronics; the ability to use various lab equipment (such as oscilloscopes, audio analyzers, spectrum analyzers, electronic power supplies and loads); and knowledge of circuit and PCB design.
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General familiarity with optical metrology technologies and techniques as related to electrical design applications and applied use of standard electrical engineering analysis and documentation software (i.e. PSPICE, Hyperlynx, Matlab, Mathcad, Orcad, Allegro, Visio and CreoView.
$160,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Experience in the use of Excel VBA, Matlab, or similar software applied to computations and analysis routines. Knowledge of Excel VBA, Matlab, or similar software. Familiarity with dam and levee safety guidelines published by the U.S. Army Corps of Engineers, Bureau of Reclamation, Federal Energy Regulatory Commission, other Federal and State agencies, related to Dams/Dam Safety, Heavy Civil, or Waterfront Engineering.
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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. Have experience in modeling and simulation of the physical layer with MATLAB, Python, or other languages.
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Are experienced with engineering software packages for design and finite element analysis such as SolidWorks and Matlab. Are skilled in computational fluid dynamics for underwater system design.
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Education: A PhD (>4 years of postdoc training) in applied mathematics, statistics, computer or computational science, or mathematical biology is appropriate. The candidate should have good programming skills, good working knowledge of one or more mathematical/computational modeling and statistical packages (e.g., Netlogo, Anylogic, Matlab, Python, Monolix, R) and excellent English (both written and oral.
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Basic experience with mechatronics behavior predictive modeling and methods in MATLAB / SIMULINK or similar tools, including “first principle” engineering equations and other techniques, particularly applied to control system simulation and implementation.
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C#, Python, R, Java, SQL, Visual Basic, SAS, MatLab, Mathematica, Stata, NetLogo, Octave, Anaconda, Keras, TensorFlow, Hadoop, BigML, Pandas, Tableau, Sigma JS, MS Visio) is required. Education RequirementsA master's degree in engineering, operations research, applied mathematics, physical sciences, or related fields with 0 to 5 years of professional experience is preferred.
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A master's degree in engineering, operations research, applied mathematics, physical sciences, or related fields with 0 to 5 years of professional experience is preferred. Successful applicants are expected to have evidence of technical knowledge in one or more substantive (e.g., defense acquisition, cyber security, natural hazards, capabilities development) or methodological (e.g., data analysis, machine learning, artificial intelligence, modeling) areas as demonstrated in academic coursework, prior professional experience including internships, publications, and conference presentations, and/or other documentable academic and professional experience.
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Familiarity with multiple machine learning or statistical packages in Python, R, MATLAB, or another programming language. Advanced degree in Statistics, Machine Learning, Computer Science, Electrical Engineering, Applied Mathematics, Operations Research, or a related field.
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Essential Duties and Responsibilities:The major responsibility of the student will be the performance of power grid modeling and simulation, statistical analysis and machine learning applications in power system control or cybersecurity, and the implementation in Python and Matlab.
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Experience in statistical /quantitative analysis tools such as SQL, Python, R, Matlab. Masters Degree in Quantitative Discipline (Financial Engineering, Computer Science, Statistics, Economics, Applied Mathematics.
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Familiarity with large data sets, python (or other language), JMP/Tableau/Matlab a plus. Applied Materials’ Micron Account Team is searching for an intern to join our team in summer 2024.
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Familiarity with relevant tools such as Synopsys/Cadence/Siemens tool kits, MATLAB, Simulink, DOORS, etc. At Samsung Austin Research and Development Center (SARC) and Advanced Computing Lab (ACL), we are building a center of excellence for Intellectual Property (IP) that is applied to high-performance computing devices (mobile, automotive, and other custom market segments) consumed by millions of people around the world.
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