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University of California, Los Angeles | Los Angeles, California | United States | about 14 hours ago
for the Project Scientist Series: The Project Scientist Series make significant and creative contributions to a research or creative project related to Surgery. They carry out research or creative programs with
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journals and/or grant submissions. Knowledge of PI’s area of research specialization. Experience in medical imaging, image processing, image reconstruction, machine learning and/or computer vision
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communication skills. Ability to manage multiple projects. Work Location: Main Campus – College Station, TX. About Electrical and Computer Engineering: The Department of Electrical and Computer Engineering at
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Computer Engineering The Department of Electrical and Computer Engineering at Texas A&M University leads advanced research in several important national and global areas for the betterment of humanity. Areas
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Vimeo 2 Learn more about this provider __cf_bmThis period shows the length of the period at which a service can store and/or read certain data from your computer by using a cookie, a pixel, an API
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, including animal models of hypertension and PE, cell culture, imaging, molecular biology approaches as well as RNASeq and other ‘Omics’ datsets and bioinformatic and pathway analysis. This PhD project will
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, novel material coatings and substrates, and tissue response), and 2) neural engineering and modulation (including neural anatomy, imaging, and targeted drug delivery for therapeutic applications). In
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pulmonary digital twin libraries, integrating frameworks and tools on exascale computer systems, writing and co-writing research articles and open-source documentation, and advising postdoctoral fellows and
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for critical applications that require qualification and certification—increasingly require that computational models and in-situ monitoring of such processes be experimentally validated under highly controlled
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2023 as the 10th VIB center, with the core mission to study fundamental problems in biology by combining machine learning with in-depth knowledge of biological processes. We aim to work towards