39 Social Sciences positions at Emory University in Ireland-United-Kingdom in United States
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contribute to the diversity and excellence of our academic community. Reporting to the Manager of Information Technology, Candler’s Academic Technology Specialist (ATS) maintains and supports the hardware and
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to research and document program requirements in order to provide appropriate input into the development of strategic plans. JOB DESCRIPTION: Develops work plans to accomplish program goals and objectives and
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responsibilities and financial documents PREFERRED QUALIFICATIONS: Bachelor’s degree in psychology, neuroscience, engineering, computer science, or related field. 1-2 years previous research experience in a
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contribute to the diversity and excellence of our academic community. INTRODUCTION: The Das lab in the Dept. of Cell Biology at Emory University School of Medicine (https://med.emory.edu/departments/cell
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contribute to the diversity and excellence of our academic community. INTRODUCTION: The Das lab in the Dept. of Cell Biology at Emory University School of Medicine (https://med.emory.edu/departments/cell
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contribute to the diversity and excellence of our academic community. The Social Neuroscience Research Core at Marcus Autism Center, in conjunction with Children’s Healthcare of Atlanta and Emory University
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contribute to the development of advanced informatics workflows designed to support the analysis of large digital pathology image sets. This position offers a unique opportunity to work at the intersection
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that may impact the success of the program, and working with individuals or groups to research and document program requirements in order to provide appropriate input into the development of strategic plans
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contribute to the diversity and excellence of our academic community. JOB DESCRIPTION: Assist in scaling our AI team and technology stack, guiding AI and other innovation-related projects from conception
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quality frameworks. Work closely with various other data engineering teams to roll out new capabilities. Build process and tools to maintain AI / ML pipelines in production. Develop and enforce data