17 assistant-professor-and-data-visualization Postdoctoral positions at University of Florida
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) at Argonne National Laboratory. The insertion device and bending magnet beam lines are available for all the synchrotron-related data collection needs for the post-doctoral associates. Professor Tina Izard
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fibroids earlier among various stakeholders. The associate will contribute to all phases of this human-centric research project through data collection (focus groups, interviews, and surveys), data
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external and internal fellowships. Will support onboarding, orientation, responding to policy and funding inquiries, and assisting with supplemental funding applications. Guides graduate student applicants
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Classification Title: Postdoctoral Associate Classification Minimum Requirements: PhD in Computer Science, Geographic Information Science, Data Engineering, or a related technical field. Job
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proposals to advance their scientific career. More information about the Department of Applied Physiology and Kinesiology can be found here: http://hhp.ufl.edu/about/departments/apk/ Expected Salary
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conducting in vitro and in vivo metabolic experiments in models of obesity and MASLD with minimum guidance from the PI. He/she will independently obtain, store and organize data and generate figures and write
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. Experience leading investigations linking simulations to observational data. Experience with statistical characterization of data, preferably within a Bayesian framework. Job Description: A Post-doctoral
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collaboratively with the research team to collect and analyze data, prepare manuscripts for publication, and participate at state and national level meetings. Also, RA duties will involve supervision and training
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are enrolled in Spanish classes. Over the course of the study we will collect personal social network data, several language measures through written and oral tasks, and measures of cognitive aptitude. The goal
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Yang in the Department of Geography at the University of Florida to begin in July 2025. This cutting-edge research integrates historical satellite imagery, modern LiDAR data, and citizen science to