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Field
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Charles Henry Turner Post-doctoral Fellow, Department of Geography & GIS, College of Arts & Sciences
intellectually to the department and to the Data Visualization Laboratory at the Digital Futures Center, contributing to projects that emphasize innovative and effective visual communication of geospatial and AI
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postdoctoral fellow to join the research team of Dr. Izard, working on the systemic effects of the human digestive tract microbiome. The position is available immediately. The project funds are secured and from
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of faculty,postdoctoral associates and graduate students in physics, chemistry, biology and medicine, is dedicated to the development of imaging probes and technologies that enable us to visualize disease
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ArcPro). Strong written, oral, and visual communication skills. Preferred Qualifications Knowledge and experience in: Inland and coastal floodplain/watershed hydrodynamics Flood frequency analysis and
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of Münster developing imaging methods allowing to visualize molecular processes inside organisms, tissues and cells. With the help of imaging, we perform cutting-edge research in vascular, inflammatory
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We are seeking a full-time Postdoctoral Research Assistant in Machine Learning to join the Visual Geometry Group (VGG), in central Oxford. The post is funded by Toyota Motor Europe and is fixed-term
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-quality writing, tabular and visual materials for research reports and presentations; conduct internet and other data searches; conduct literature reviews; assist in the development of research proposals
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-conditioned head-turn, auditory and visual habituation and recognition memory tasks, and an array of standardized developmental cognitive and language assessments. For informal inquiries please contact Dr
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The Visual Intelligence Laboratory ('Baek Lab') in collaboration with the Connected Data Hub (‘Gates Lab’) at the University of Virginia School of Data Science is seeking a motivated and self-driven
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unwanted biases. Finally, with the aim of clinical use, you will design and create a user interface that can be easily used by end users to visualize predictions and explanations for individual patients. You