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Cornell University, History of Art and Visual Studies Position ID: Cornell-History of Art and Visual Studies-POSTDOC [#31620, WDR-00056959] Position Title: Position Type: Postdoctoral Position
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Position Information Posting Number S06545P Position Title Data Visualization Librarian Department Library Location Arlington Position Status Full-time Work Schedule Monday – Friday; 8:00am – 5:00pm
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students for the Spring 2026 semester. The student assistants will collaborate with researchers in the College of Atmospheric and Geographic Science and College of Engineering in the development of decision
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Working in close partnership with our faculty members and reporting to AITHYRA’s scientific directors, you will shape the organization’s visual identity. In this role, you will translate intricate
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Postdoctoral Researcher in Natural Language Processing and Digital Humanities (18 months, full-time)
visualization. The postdoctoral researcher will be hired either at the Department of Culture and Language (https://www.sdu.dk/en/om-sdu/institutter-centre/iks ) or at the Department of Mathematics and Data
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. Bringing together multidisciplinary expertise and advanced technology, it will excel in earth, environmental, and natural resources science across six core missions: Geological Hazards, Weather and Climate
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Economics, Mathematical and Computational Biology, Theoretical Ecology), Statistics, Machine Learning and Data Science, and Theoretical Computer Science are especially encouraged to apply. The School has
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analyses, you will develop import scenarios for Germany, visualize your results, and derive recommendations for future import strategies. Throughout the project, you will receive guidance and support from
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visualization and scientific communication Extensive knowledge of relevant machine learning and AI techniques Exceptional collaborative abilities Self-motivated individual with ability to work independently
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prevention, and endoscopic education. This role integrates advanced data analytics, data systems management, and implementation science to ensure that high-quality data are collected, structured, analyzed