16 engineering-in-image-processing-"MONASH-UNIVERSITY" Postdoctoral positions at University of Virginia in United States
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/DNA transfections, lentiviral production and cell transduction, CRISPR engineering. In vivo : Subcutaneous/orthotopic tumor xenografts experiments, brain stereotactic injections, mouse handling
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the development of novel therapies for coronary microvascular disease. The research program focuses on clinical translation and the development and validation of existing and novel cardiac imaging-based
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injection, and cardiac/muscle lead surgery. Work autonomously to plan, conduct, and troubleshoot experiments recording various biosignals such as EEG, EKG, blood pressure, plethysmography, and breathing
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that will be employed include flow cytometry, confocal and electron microscopy, in vivo two photon imaging, behavioral studies and transcriptomic techniques. The successful candidate will join the Center
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across physics, mechanical engineering, materials sciences, network science, and more. This multidisciplinary and highly collaborative environment provides an exceptional opportunity for candidates
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science of science, network science, and natural language processing. As part of a small research team, the postdoc will help lead efforts to provide a quantitative model of global competitiveness
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and imaging mass cytometry, and RNA sequencing. Disease areas of interest are fibrotic lung diseases such as idiopathic pulmonary fibrosis, pulmonary graft-vs-host disease, acute respiratory distress
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science, engineering, bioinformatics, computational biology, or related fields. Preferred Qualifications: Multi-Omics and Genomics Expertise: Strong experience with large-scale datasets from public repositories, crucial
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their communications Data Collection and Analysis: Collect data on the implementation process, including facilitator performance and participant feedback Analyze fidelity data to identify areas where
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Collaborate with leading researchers within and outside UVA Qualifications: U.S. citizenship required Ph.D. in Data Science, Statistics, Computer Science, Network Science, Physics, Engineering, Sociology