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University of California, Los Angeles | Los Angeles, California | United States | about 19 hours ago
of describing your teaching, scholarship, and service. Reference requirements 3 required (contact information only) Provide contact information of 3 professional references. Apply link: https
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(Rietveld refinement and PDF analysis), of Dr. Marie-Ingrid Richard’s group at CEA Grenoble, experts in Bragg Coherent Diffraction Imaging (BCDI) and of Dr. Frédéric Maillard group at LEPMI, which is
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rapidly; Strong judgment, and can quickly evaluate what works, what doesn’t, and why; and If you can think, prototype, and build effectively with AI, we want to hear from you. How to Apply Applications
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validate exosome-based biomarkers for treatment responses in ongoing interventional studies. · Integrate exosome data with imaging and other fluid biomarkers using advanced computational tools. Required
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data integration (EEG + imaging/behavior), preferred. Track record of peer-reviewed publications, preferred. Interest in developing an independent research program, preferred. Equipment Utilized Physical
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postdoctoral researcher to contribute to an NIH-funded project focused on developing innovative techniques and hardware for ultrahigh-field magnetic resonance imaging, with an emphasis on ultrahigh-resolution
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, is a materials science beamline specialising in X-ray diffraction and full-field imaging techniques. The beamline serves a very wide user community, spanning physics and chemistry to medical science. A
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at: www.ftf.lth.se , www.nano.lu.se , https://kaw.wallenberg.org/en/research/semiconductor-bandgap-key-future-green-electronics, https://c3nit.se/ Subject description The purpose of this project is to develop a data
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imaging and multi-omics analysis is desired and will be highly valued. The candidate should have good communication and interpersonal skills, along with the evidence of ability to work on own initiative as
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Post Doctoral Researcher Rinn Artificial Intelligence – Research & Innovation in Data Science and AI
. The host research group leads a number of projects on the development of theoretical and applied methods in statistical modelling, medical imaging data analysis, cancer omics, precision medicine and