27 phd-data-maining-"Computer-Vision-Center" Postdoctoral positions at Indiana University
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by Dr. Tim Pleskac (cognitive and decision modeling) and Dr. David Crandall (computer vision and AI). The postdoc will lead the development, integration, and testing of computational models of decision
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: The analyst will contribute directly to the development and advancement of NSSE and associated projects. This will include working collaboratively with NSSE’s Data and Reporting team to update NSSE by shaping
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at Indiana University is seeking applicants for a post-doctoral position. Our DOE-funded efforts include leading roles NOvA operations and data analysis and DUNE construction and data analysis
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for information regarding the position requirements: Required Qualifications: • Ph.D. in Physics (Condensed Matter, AMO, Quantum Information, or a related field). • Expertise in quantum many-body theory with a
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), spectroscopy (e.g., stellar properties; radial velocities), and astrometry (primarily Gaia DR4), using data from ground- and space-based facilities. We especially value candidates with strong technical skills
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-directs. Fellows are expected to pursue research activities associated with their primary area(s) of scholarship, as well as to explore collaborative, interdisciplinary projects with other scholars at IU
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, wildfires, etc.—and/or the human impacts of those events—such as heat-related mortality, disaster-related losses, etc. The job will require data analysis and visualization, preparation and submission
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secondary data analysis. Opportunities exist to develop and lead new projects in this topic area and to contribute to grant development. The postdoctoral fellow will contribute to study design, mixed methods
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work; (2) their CV; (3) a research statement of about 500 words describing their research and professional goals; (4) names and contact information for two references. Applications should be submitted
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by Dr. Tim Pleskac (cognitive and decision modeling) and Dr. David Crandall (computer vision and AI). The postdoc will lead the development, integration, and testing of computational models of decision