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programming in R, Julia, or Python ● Experience with participatory agent-based modeling ● Finalize manuscripts not associated with this project ● Participate in training and professional development
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available in the LEAF lab at Boise State University (https://www.leaf-ecohydrology.org/), funded by the USDA Agricultural Research Service. The successful applicant will work with a collaborative team to
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, and similar equipment. Proficiency in Python programming including ability to install and use spiking neural network simulators such as SNNTorch, NEST, Nengo, etc. Experience with semiconductor memory
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(https://atomicfilmslab.org) and will work closely with the computational, device, and simulation teams, as well as with the education and mentorship teams comprising ASWESOME. This position will inform