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modelling (FE) of externally bonded reinforcements and concrete. If possible, experience in programming (python, MatLab). Experience in scientific writing with proven track record. Very good English, German
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of optics, imaging systems, digital holography, speckle metrology, Matlab and simulations, signal processing, the Fourier transform, machine learning, and classifiers such as SVM. Meriting qualifications
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 30 minutes ago
training in thermodynamics and programing (Python/Matlab/R), and analytical techniques (Raman, infrared spectroscopy) are desirable. Experience with cryogens and high pressure vessels are beneficial, but
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such as AnyLogic, Unity, MATLAB/Simulink, or AWS IoT TwinMaker. Experience in integrating real-time data for dynamic urban system modeling. In-depth knowledge of IoT sensor networks for collecting and
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Python, R, or MATLAB. Solid understanding of battery systems, electrochemical processes, or energy management. Preferred Skills: Experience with time-series analysis, predictive modeling, and anomaly
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programming languages/software such as MATLAB, Python, R, Stata, as well as GIS applications (e.g., QGIS). Have excellent communication skills in both English and Chinese, in writing and in oral presentations
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given preference. The ideal candidate will possess strong computational skills and have experience with MATLAB, Python, or equivalent programming languages and will have a strong publication record in
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, biomedical engineering, or a related field. • Experience with coding software such as Python, R, or Matlab. • Familiarity with collaborative coding software such as GitHub and database management
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relevant field and 5 years of post-doctoral experience in sensory and language processing, statistical analyses, MATLAB, and iEEG data acquisition and analysis, and fMRI data acquisition and analysis
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spending risk affects savings. Knowledge of economics, programming in MATLAB and JULIA, and the Health and Retirement Study data is necessary. Understanding linkages with administrative medical records is