19 postdoc-image-processing Postdoctoral positions at Carnegie Mellon University in United States
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Mohadeseh Taheri-Mousavi’s group. The postdoc will develop and conduct advanced machine learning techniques combined with computational research to study the mechanical behavior of welds. Responsibilities
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Bryan Webler’s group. The postdoc will conduct research on the fabrication of refractory alloys by additive manufacturing methods. Responsibilities: Design build plans and use powder-feed direct energy
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microscopy and image analysis. The candidate should have experimental experience with surfactant systems, with some preference for experience with foams and/or imaging methods. The initial contract will be
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-potential research within the excellence-driven environment of CMU. Offering benefits beyond ‘traditional’ postdoc roles, Fellows are provided with the resources, flexibility, and environment to address
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of natural language processing, machine learning, artificial intelligence, and human-computer interaction. Established within the School of Computer Science, LTI pioneers innovative approaches to understanding
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of natural language processing, machine learning, artificial intelligence, and human-computer interaction. Established within the School of Computer Science, LTI pioneers innovative approaches to understanding
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language processing, machine learning, artificial intelligence, and human-computer interaction. Established within the School of Computer Science, LTI pioneers innovative ways to understanding, processing, and
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language processing, machine learning, artificial intelligence, and human-computer interaction. Established within the School of Computer Science, LTI pioneers innovative ways to understanding, processing, and
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practices in different research communities; Teach lessons and workshops such as data processing and analysis using R or Python, tools and best practices for data management, computational best practices