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Field
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: experience with Chlamydomonas reinhardtii or Arabidopsis thaliana, photosynthesis, high-throughput genetics, computational data analysis, and fluorescence microscopy. Applications must include a cover letter
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: 2023508 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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development as well as co-authorship on high-impact research articles. This is a 1-year term position, with opportunity for renewal depending on good performance and successful funding of the next phase of
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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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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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)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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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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/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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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