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to independently design and generate simulations using the Regional Oceanic Modeling System (ROMS) or other related codes (e.g., COAWST, CROCO, MITgcm, Oceananigans) in realistic and/or idealized configurations
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, assessment of images, or assessment of memes. Preference for those with experience working with large scale data, millions of actors and messages. Successful candidates will work on at least two related agent
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also involves the study of activity dependent gene expression in the brain of rats and will involve dissection, staining, and imaging. It will also involve writing grant proposals and manuscripts
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non-coding RNAs in the Nakanishi Lab (http://u.osu.edu/nakanishilab/ ). We are looking for a highly motivated scientist to join us in exploring the diverse roles of non-coding RNAs. Responsibilities
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exposure models of Fetal Alcohol Spectrum Disorders (FASD). We are currently using several approaches including multiphoton in vivo imaging, auditory measurements, behavioral methods and electrophysiology
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and spontaneous intracranial hypotension (SIH). Duke is an internationally recognized clinical and academic center of excellence for imaging guided spine intervention and has been highly productive in
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Department:Radiology Salary Salary:$50,004.00 to Commensurate Position Details Full/Part Time Status:Full Time Percent Time:100% Position Description: Post-Doctoral Research Fellow in Quantitative Brain Imaging The MR
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engineering pipeline, developing usable and innovative solutions to build a prototype of sustainable online tools and services that are relevant and useful to a broad range of stakeholders making decisions
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. The ideal candidate should have a strong background in one or more of the following: developmental biology, genetics, molecular techniques, bioinformatics/genomics, electrophysiology, calcium imaging
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the following: Magnetic resonance imaging Python, MATLAB, C/C++ Excellent writing skills, as evidenced by first author publications Exposure to clinical MRI in general, with knowledge of brain tumor MRI