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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 hours ago
looking for a postdoctoral fellow interested in developing either machine learning algorithms for high-resolution histopathology imaging/spatial-profiling data in combination with other modalities (e.g
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motivated PhD students, interns, and PostDocs at the intersection of computer vision and machine learning. The positions are fully-funded with payments and benefits according to German public service
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for information and communication technologies, in particular displays, image sensors and secure communications. The main drive of the group is to carry out applied research which bridges academia and industry, by
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engineering, or in a relevant engineering field, with an extensive background and training in the operation of a wide range of spectroscopic and imaging techniques for materials characterization. Use of HRTEM
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relying on optical measurement techniques for fluid mechanics, such as particle image or particle tracking velocimetry. Work with graduate and undergraduate students to fabricate and test prototypes, using
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for microscopy imaging, and operating transmission electron microscope. This position will be expected to conduct data analysis, prepare publications, and present research findings in regional and national
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medical image data. Vivid Interest in interdisciplinary research, closely working together with pathologists, medical experts, computer scientists and other researchers. Independent and pro-active work
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(transcranial magnetic stimulation (TMS), intracranial electrical stimulation (iES)) concurrent with functional magnetic resonance imaging (fMRI) or intracranial electroencephalography (iEEG), and brain lesion
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Position Overview School / Campus / College: College of the Environment Organization: Applied Physics Lab Title: Postdoctoral Scholar in advanced ultrasound methods for both cardiovascular imaging
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engineering, chemical engineering, or in a relevant engineering field, with an extensive background and training in the operation of a wide range of spectroscopic and imaging techniques for UHV surface science