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(Python, MATLAB) for processing and analyzing large or multimodal datasets (e.g., neural activity and behavior). Experience working with quantitative behavioral or electrophysiological data collection
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to study the interaction between behavioral goals, life experience, and sensory processing. Our experiments merge a range of approaches, including large-scale multi-area in vivo neural recording, wireless
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sensors, wave sensors, conductivity, temperature, pressure, oxygen, and/or bio-optical sensors. Experience analyzing, interpreting, and visualizing output from hydrodynamic models or other very large data
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signaling pathway and mTOR/Insulin signaling pathway. The project will be focused on characterization of novel growth regulators identified through our recent large-scale genetic screens. More information on