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Field
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)function. Our approach develops methods to interpret high-performing deep learning models to distill knowledge that they learn from big, noisy biological sequence data. Our goal is to elucidate biological
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for extension based on performance and funding availability. The position is immediately available. Review of applications will continue until the position is filled. The initial appointment will be for one year
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, computational, and machine learning/AI methods, with a particular emphasis on deep learning approaches improve our understanding and prediction of infectious disease dynamics. Projects are also strongly grounded
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/benefits/benefits-overview . Posting Summary Support research in an externally funded program investigating neuronal stress responses and the hypoxia-response. The Rongo laboratory within the Waksman
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of investigations in professional journals; is capable of working with a high level of independence. The Postdoctoral Associate offers advice and brings expertise to the research team; is responsible
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discourse analysis approaches. The associate will also work with the PI and undergraduate student researchers on artifacts related to the project’s educational plan. All work will be performed in accordance
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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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NCCL. Knowledge of high-performance computing and its applications. Additional Information: Applicants cannot have received their Ph.D. more than five years prior to the date of application and must
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Performance Computing & Linux • A proven track record of peer-reviewed publications Preferred Qualifications • Experience with US3D CFD software • Experience developing numerical CFD methods for integration
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environmental conditions. Our lab is equipped with state-of-the-art facilities, including multimodal laser-induced shock waves, terahertz spectroscopy and imaging, high-resolution and high-speed digital image