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Field
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Number req26684 Department Biomedical Engineering Department Website Link bme.engineering.arizona.edu/ Location Tucson Campus Address Tucson, AZ USA Position Highlights The post-doctoral research fellow
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expertise and experience in radiation detection technologies, PET and/or SPECT instrumentation, as well as related physics and computing methodologies, and image-guided therapy applications. Assessment
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University of California, Los Angeles | Los Angeles, California | United States | about 2 months ago
Skip to main content Recruit Home Open Recruitments Chemical and Biomolecular Engineering: Postdoctoral Employee - in vivo cell engineering (JPF11226) Chemical and Biomolecular Engineering
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for executing statistical and computational research activities focused on novel methods development for processing, segmentation, and trait extraction from 3D CT images of plant roots under the mentorship and
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Technology, ITS Required Qualifications: Ph.D. in Computer Science, Library/Information Science, Knowledge Graphs / Linked Data in any discipline, or related field Proficiency in Python, and experience with
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(HAI)(link is external) . Research Focus The fellow will lead computational modeling efforts to develop large-scale, multimodal models of the human brain. The work will involve integrating brain imaging
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University of California, Los Angeles | Los Angeles, California | United States | about 2 months ago
team members and present findings verbally and in writing Qualifications Basic qualifications • Ph.D. in biomedical physics, biomedical engineering, neuroscience, computer science, or related discipline
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seeking a highly motivated Postdoctoral student with experience in molecular biology, biochemistry (preferably of membrane proteins) and quantitative biophysical and/or computational approaches to examine
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executing research projects involving three-dimensional imaging, intraoral scanning, digital metrology, computational analysis, surgical guidance systems, and related biomedical technologies. This position
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research facilities, and high-performance computing resources. Education Requirement: - MBBS, MBBCh, MS, MD, PhD, or MD/PhD in Radiology, Medical Physics, Biomedical Engineering, Computer Science, or a