39 postdoc-position-in-image-coding Postdoctoral positions at Carnegie Mellon University
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subsequent data analyses and working with other postdocs and technical personnel. You will also work on system assembly to create fully functional devices and hormone calibration studies in vitro and in vivo
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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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the construction of the new 3D-ICE system Responsible for supporting the fabrication of the cell niche Responsible for conducting and supporting related experiments Responsible for working with other postdocs and
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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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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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research community, and committed to developing a research and teaching agenda on topics related to open science. This is a fixed term 2-year position with 50% of time devoted to research and 50% to teaching
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engineering, earth science, computer science, or related field required. A PhD specializing in glacier modeling, remote sensing, and/or statistics preferred. Python coding experience preferred. Strong
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for this position should submit the following materials: A cover letter of intent that describes their interest in the position and potential contributions to the academic and broader community. Curriculum vitae
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. This position will work closely with faculty in AI, NLP, Ethics, and Anthropology to design and conduct empirical studies, develop novel evaluation frameworks, and advance methods that ensure AI systems