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/Qualifications 1. Computational Aptitude: Given the type of work involved ideal candidates would have an exceptionally strong programming background. Thecandidate must possess experience working with MATLAB and
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) for dynamic systems with unknown but measurable performance functions. Experience in system identification and online time-varying parameter estimation algorithms. Programming skills in MATLAB/Simulink, C/C
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laboratory test equipment, including RF test setup preparation and execution; developing software tools and scripts in MATLAB or Python for data formatting, automation, and post-processing; recovering
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, troubleshoots, and configures academic software as necessary for research groups (e.g., Python, R, MATLAB, C/C++ libraries). 5. Prepares detailed diagrams and documentation outlining systems, applications
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low-fidelity and high-fidelity models for emissions, trajectories, and re-entry. Proficiency in numerical modelling and programming (e.g., Python, MATLAB, C/C++/Fortran). Ability to work efficiently and
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, hydrology, physical geography, and/or biogeochemistry as shown in application materials. Data analysis and visualization experience, preferably using programmatic approaches (R, Python, MATLAB, etc.) as
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the following: Conduct research in the area of aging, balance, fall rehabilitation, app development, and biomechanics. Data Post-processing. Programming using MATLAB, Python, and Java/Kotlin (for Android
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Proficiency in XPS, XRD, TEM/STEM, EIS, DRT, surface analysis Python/Origin/Matlab for data analysis is advantageous Experience Experience in SOC/SOFC/SOEC, electrocatalysis, ALD nanocoatings, or defect
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analysis in the fruit fly model system, and computer programming proficiency in R, MATLAB, and Python are required. Successful candidates will be expected to work closely with PI and collaborators
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paradigms, and analysis tools used in experimental research with neurosurgical patients and healthy participants. This position requires strong programming skills in Python, MATLAB, and C++, as