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Experience developing software with Python, R, and/or Julia Experience with machine learning and AI algorithms and tooling (e.g. PyTorch) Experience with remote sensing and open-source GIS tools (e.g. Google
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, GIS tools and quantitative/spatial approaches including machine learning to understand how wildlife species are reacting to climate change at continental or global scales. Specific project ideas could
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. CCA Postdoctoral Associates receive a salary of $50,000, health benefits, a private office, and administrative support. Fellows normally teach 1 undergraduate course during their fellowship year. Since
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. CCA Postdoctoral Associates receive a salary of $50,000, health benefits, a private office, and administrative support. Fellows normally teach 1 undergraduate course during their fellowship year. Since
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/Licenses Required Knowledge, Skills, and Abilities Experience in metabolomics and flow cytometry (FACS) analyses, or the ability to rapidly acquire these skills, is expected. Effective oral and written
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seizures/epilepsy, including stereotactic injections and implantation of multichannel recording and stimulation electrodes. Acquire, curate, and analyze multichannel iEEG/electrophysiology recordings from
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, STATA, SAS, or other statistical software; Exposure to pre and postprocessing of magnetic resonance imaging and/or magnetic resonance spectroscopy data or willingness to learn neuroimaging techniques
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meteorology, human ecology, entomology, and environmental economics. In addition to instruction in the classroom, field, and laboratory, our students have opportunities for experiential learning on and off
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Learning: Apply shape-correspondence and machine-learning approaches, including spectral/graph-based surface alignment and autoencoder-based shape extraction, to compare limb and joint morphology across
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(RBHS). The primary purpose of the Postdoctoral Associate is to work on research project investigating the neural mechanisms of sensory perception, learning, and decision-making. The laboratory uses state