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well as experience in atmospheric dynamics or climate dynamics, basic shell scripting, and python/Matlab/R or similar languages. Experience with “traditional” climate modelling, data-driven climate modelling, and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months 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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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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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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in systems neuroscience. Ideally you would have experience with mouse behaviour and/or Neuropixels recordings and analysis, as well as with opto/chemogenetics. Being a pro with Python/MatLab helps
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in systems neuroscience. Ideally you would have experience with mouse behaviour and/or Neuropixels recordings and analysis, as well as with opto/chemogenetics. Being a pro with Python/MatLab helps
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psychophysics and statistics Good command of Matlab or a similar programming language Very good command of the English language in spoken and written form Research experience as evidenced by conference
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of Matlab or a similar programming language Very good command of the English language in spoken and written form Research experience as evidenced by conference contributions and peer-reviewed journal articles
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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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on analyzing satellite-derived data (Sentinel-3, Landsat) to monitor coastal ecosystem changes. Develop workflows in R, Python, or MATLAB to process and analyze ocean color data, with a focus on chlorophyll-a