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availability.Applicants should have a PhD degree with research experience related to neuroscience or biomedical science/engineering or two-photon in vivo imaging. Experience in animal handling, behavioral experiment
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parasite biology and access to facilities including a derogated CL3, and state-of-the-art flow cytometry, genomics and imaging facilities. Applicants with enthusiasm for teaching at undergraduate and
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functional dimensions of human long non-coding RNAs (lncRNAs) in regulating human cardiovascular development, metabolism, function and disease. These new lncRNA functions include the broad interactions
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approaches that address (for example) the intellectual status of the image, the political functions of art, or visual theology across multiple regions. The Mellon Fellow will teach two courses per year: one
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Missouri University of Science and Technology | Rolla, Missouri | United States | about 13 hours ago
, especially telemetry implantation. Familiarity with Doppler and echocardiographic imaging in small animals. Prior research experience in cardiovascular consequences of sleep-disordered breathing or hypoxia
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including advanced coding in R and/or Python, -An interest and track record in publishing in top academic journals; -Proficiency using GitHub and coding languages, and other modern data management, sharing
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on machine learning or classical force fields. 3. Familiarity with open-source coding practices (GitHub/GitLab). More Information Location: Kent Ridge Campus Organization: College of Design and Engineering
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with the Department of Medical and Translational Biology and the Department of Statistics at Umeå University, as well as Umeå Center for Functional Brain Imaging (UFBI). The research environment conducts
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. The Research Fellow will join an international team in the project “Imaging the magma storage region and hydrothermal system of an active arc volcano”, funded by the UK Natural Environment Research Council and
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. Responsibilities will include image data processing and analysis of PET data, and may include fMRI or DWI (MRI) data processing and analysis in tandem with PET data. Opportunities exist for integration of imaging