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University ( SEAS ) seeks applicants for a postdoctoral position in networking support for machine learning systems. The initial term for this position is one year; reappointment for a second year is
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Qualifications: Ph.D. in Statistics, Biostatistics, Computer Science, Statistical Genetics, or a related quantitative field (by the time of appointment). Strong background in statistical or machine learning
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BOSTON, Massachusetts, Dr. Vokler Hovestadt is hiring a Postdoctoral Research Fellow- Biostatistics/Machine Learning for his lab! The Hovestadt Lab in the Department of Pediatric Oncology at Dana
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performance utilizing a variety of tools including life-cycle assessment (LCA), machine learning techniques, and/or optimization methods. This position will carry out state of the art research into the
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recent advances in genetics and genomics, and through collaborations with groups using machine learning. We are developing and applying tools to understand how implicated genes act in neurons and
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perception built with machine learning. They will build on the lab's expertise in deep computational models of the auditory system and in particular on recent work building models of prosthetically
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and how circuit structure supports computation. Will lead research on one or more of the following areas: Automated proofreading & annotation at scale: Machine learning approaches for error detection
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Cambridge, Massachusetts, POSTDOCTORAL ASSOCIATE , Mechanical Engineering , to perform cutting-edge research on projects centered around machine learning models for Computer Aided Design and
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observational data of non-CO 2 greenhouse and ozone-depleting gases (e.g., N 2 O, CFCs, HFCs), and to extract diagnostic insights from instrument performance indicators, using machine learning methods
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digital transformation, machine learning, and data analysis applied in logistics and supply chain management; support graduate-level teaching activities for both the Supply Chain Management residential