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. The successful candidate will collect electrophysiology and imaging data and analyze neuronal activity and behavior to better understand how neural circuits control behavioral performance. Applicants should have a
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: Exempt Work Schedule: Monday – Friday, 8 a.m. – 5 p.m. Summary The Translational Imaging Group (TIGr) in the Department of Radiology at Texas Children’s Hospital and Baylor College of Medicine is seeking a
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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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Previous Job Job Title Wright Group Post-Doctoral Associate Next Job Apply for Job Job ID 368707 Location Twin Cities Job Family Academic Full/Part Time Full-Time Regular/Temporary Regular Job Code
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practices ● Fluency in programming languages such as R and Python. ● Demonstrated ability to make reproducible code for cleaning, integrating, and modeling spatial/temporal data from multiple sources, spatial
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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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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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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