1,014 post-doc-image-engineering-computer-vision positions at The University of Chicago
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of the finest endocrinology centers in the U.S. The University of Chicago’s endocrinology program has a reputation for progressive therapies and leading-edge research. Job Summary The University of Chicago’s
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questions. We have particular strengths in membrane proteins and RNA biochemistry and are pioneers in all areas of biophysics, structural biology, biochemistry, and protein engineering and design. Please
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the effective use of technology. We simplify the technology experience for faculty, students, alumni, and staff, and we ensure technology is mobile-friendly and accessible. We identify, manage, and mitigate
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or Knowledge: Demonstrated skill and knowledge of, or ability to learn quickly, the internal workings of the University as well as the technology tools available to the Office of Advancement, including Phoenix
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of the University as well as the technology tools available to Advancement, including Phoenix, the University's Donor Relationship Management System. Proficient in Microsoft Windows computer environment, Microsoft
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Competencies Knowledge in relevant scientific field. Knowledge of research techniques or methods relevant to the lab (e.g. Microscope imaging, image and data analyses, which includes writing/modifying computer
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Skills or Knowledge: Proficient in technology tools available, including Windows computer environment, Microsoft Office, etc. Preferred Competencies Strong communication skills. Multitask within a fast
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, referring MD office records, preparing clinical research charts, and participation in program audits. Solves a range of straightforward problems relating to the administration of the compliance, financial and
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, executive leadership of NGOs, and child welfare program staff. Ensures effective team collaboration and mentors team members to develop and grow their skills. Sets strategic vision and goals for the team
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research projects with an emphasis on image analysis and computational pathology and the development of AI-driven data pipelines. The ideal candidate is a motivated individual with strong programming skills