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data science. Scientific writing skills and first journal publications Experience in programming (e.g. Python, MATLAB) for experiment control and data analysis is advantageous. Self-motivated, organized
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- statistical techniques used in spatial data analysis - scientific programming, e.g. Matlab, R, Python or Julia - designing and/or conducting field measurement campaigns in atmospheric
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optics and related models and techniques, or interest to learn them Programming skills (e.g., Python, Matlab, FORTRAN, C, C++) Advanced English (written and spoken) Will to learn new techniques and
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excitations in nanoscale structures (e.g. methods of computational chemistry) or related techniques. Programming skills (e.g., Python, Matlab, FORTRAN, C, C++) Will to learn new techniques and approaches
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include computational programming (Matlab, LabView, Python, etc) and sensor instrumentation, signal capture, and processing. FLSA Non-Exempt Full Time/Part Time Full Time Number of Hours Worked per Week 40
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Technical Skills. Characterization and modeling of soil erosion processes and fluvial transport. Geotechnical laboratory tests. Programming: Python, Matlab, etc. Monitoring of geomorphological processes
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neuronal network models to simulate spinal motor function. Use computational tools (e.g., Python, MATLAB, NEURON, or Brian2) to create biologically plausible models of spinal circuits. Validate models by
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Python or Matlab. Desirable criteria Additional biomedical experience such as medical training and working with fMRI data Strong communication skills and passion to disseminate research findings, including
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MATLAB or Python is a significant plus, as is previous coursework/enduring interest in neuroscience, biology, and/or bio-engineering. The ideal candidate would be willing to accept the position for 2 years
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to help with participant recruitment Verify participant data daily to ensure collection is accurate and process data with MATLAB, Python, and R scripts as needed Prepare and maintain IRB materials, ensuring