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astronomy. We develop and operate commercial-quality, cloud-based software application and platform services used by 10s of thousands of researchers to manage their large–and growing–data management
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paradigms designed to uncover different behavioral and cognitive states. Recording and analytical techniques span several scales, from the single neuron to small populations, large populations, and
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an emphasis on geospatial data analysis. The ideal candidate should have strong command of computational methods and experience working with large scale, high resolution data such as satellite data, street
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Research Assistant who will analyze large-scale biological data sets and help create open-source R and Python software to support our lab’s methodological research. Working closely with Professor Donnat