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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
to program fluently in at least one common scientific programming language such as Python, R, Javascript, or Matlab. Must have experience in sediment transport modeling. Preferred Qualifications, Competencies
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• Proficiency in MATLAB • A proven track record of peer-reviewed publications Preferred Qualifications • Expertise in high-speed turbulent flows • Experience developing novel measurement techniques in hypersonic
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of simulation tools (e.g., Multiphysics finite element analysis, Matlab, Labview etc.) cleanroom experience, and characterization of electronic devices are required. Further, knowledge of system level integration
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( https://www.nature.com/articles/s41593-022-01109-2 ) The successful candidate will work with mice and conduct in vivo neurophysiology with molecular tools, data analysis, and modeling (using MATLAB
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electron microscopy and fatigue testing of metals Skills in in situ testing, FIB sample preparation, and image/data analysis tools (e.g., DigitalMicrograph, ImageJ, Python/Matlab) are beneficial. Strong
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Operations, Laboratory Techniques, Linux, MATLAB, MRI Analysis, Oral Communications, PET/CT, Python (Programming Language), Researching, Results Reporting, Scientific Writing, Statistical Analysis, Unix
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ability to learn new software quickly and introduce new useful applications and platforms to the team. Proficient in advanced statistical modeling software (e.g., R, Stata, Matlab) Physical Demands This is
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understanding about the electronic properties of semiconductors Understand the principles of optical characterization tools for semiconductors and electronic devices Preferred Qualifications Labview, MATLAB
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tracking) Memory and/or trauma Coding skills (e.g., Matlab or Python) Strong interest in psychical and past-life memory research; prior experience not needed Established research and publication record
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in MATLAB and/or Python. Solid background in experimental design, statistics and scientific writing. Willingness to work in a clinical research environment. Excellent time-management, written and oral