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Field
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evolution, genomics, plant biology, microbiology, or a related field. Computer Skills High performance computing including experience with R, python, and/or general experience with command line coding and
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(energy auditing, GHG accounting, resource recovery)*Strong publication record and excellent written/verbal communication skills*Experience in coding for high performance computing (e.g., university cluster
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Carnegie Mellon University is a private, global research university that stands among the world’s most renowned education institutions. With ground-breaking brain science, path-breaking performances
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have demonstrated high productivity during their doctoral studies with first author publications in well-respected journals. Experience with lasers, LEDS, optical system hardware, clean room fabrication
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/modeling, at the Electrical and Computer Engineering Department, and in collaboration with the Applied Mathematics Department, Santa Clara University. This is an in-person position at Santa Clara University
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interested in computational materials design and discovery. The successful candidate will develop new, openly accessible datasets and machine learning models for modeling redox-active solid-state materials
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experience in hydrological or Earth system modeling, with emphasis on process understanding and prediction. Strong background in computational sciences, including numerical methods, high-performance computing
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: Ithaca, New York 14853-3501, United States of America [map ] Subject Areas: Computer Science / Engineering Environmental Engineering Water Resources Environmental Processes Engineering Management Appl
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measures for comparing hearing performance between ANI and CI users. Create and maintain software tools for stimulus delivery, response collection, and data analysis (MATLAB and Python). Collaborate with
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-scale multimodal neuroimaging dataset, brain imaging quality control and processing. Assist with grant applications, manuscript preparation and supervision of RAs and volunteers. Performs other duties as