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Field
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spatial analysis of species distribution data, and quantification of ecosystem services. Preference will be given to applicants that possess a diverse set of skills and can contribute to more than one
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skills and be interested in developing a collaborative program of applied research in robotics. For example, this may include sensor development, applied robotic perception, algorithm development, or other
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communication skills, be strongly motivated, and work well in a team setting. A rough effort distribution for this position is indicated below: · Work on assigned projects (~80%) · Review scientific literature
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contribute to the development of next-generation technologies and tools that could facilitate the integration of renewable generation and other distributed energy resources into the power grid. The successful
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solutions using first motion. Experience in full waveform inversion using innovative tools (e.g. ISOLA) and methods (ML), earthquake location algorithms, computer programming and geophysical equipment