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program, focusing on intermediate wheatgrass, perennial rye, and perennial wheat. The candidate will design and implement appropriate breeding strategies, integrating modern genomic approaches where
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, implement, and evaluate computational models that assimilate 2-photon data (60%) Use a computer programming language to create novel neural network simulations (models) that include realistic simulations
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at the intersection of systems neuroscience and computational modeling. Our lab is broadly interested in Bayesian inference, perception, multisensory integration, spatial navigation, sensorimotor loops, embodied
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populations Preferred Qualifications Experience in collaborating as a member of a larger research team Experience with reading and/or language comprehension development, assessment, and/or instruction or
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as Earth and atmospheric sciences, environmental science, hydrology, ecology, computer science, math, statistics, or related fields. Strong programming experience (e.g., Python, Fortran, or C++) and
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imaging. About the Department Neuroscience is the scientific study of the nervous system. It is an interdisciplinary science that collaborates with other fields such as chemistry, computer