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Qualifications Experience in electrophysiology and analytic methods for analyzing this type of data. Experience in computational neuroscience and modeling, as well as in the aging brain is desirable. FLSA Exempt
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or laboratory analyses. Familiarity with statistical analyses and data integration across multiple sources. Collaborative skills and ability to demonstrate commitment in teams Motivation to pursue a scientific
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: 276110766 Position: Postdoctoral Research Associate Description: A Postdoctoral Research Associate or more senior research position in computational biology is available in the Pritykin lab at the Lewis
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Postdoctoral Associate Required Qualifications: (as evidenced by an attached resume) Ph.D. (or foreign equivalent) in Electrical Engineering, Computer Science, Applied Mathematics, or a closely
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Mathematics, Statistics or Computer Science obtained within the last 5 years. Applications are open immediately and will be reviewed on a rolling basis until the position is filled. The position becomes vacant
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University of California, Los Angeles | Los Angeles, California | United States | about 24 hours ago
. graduates with a strong background in statistics and data analysis, imaging science, segmentation of medical images including magnetic resonance imaging (MRI) scans, and outcomes research. Familiarity with
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, Genetics, Cell Biology, Biophysics or a related field - Competency in computational (R or Python) and statistical analysis - Competency in experimental design and standard molecular biology, imaging
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on highly technical projects • Strong computer, statistical, and technical skills Preferred Qualifications • Experience in intervention development, training, or fidelity monitoring preferred
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. Responsibilities Research Develop mathematical models of topologically complex membrane structures using continuum or statistical mechanics. Implement computational models of these structures using methods such as
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, faculty members, researchers, and students are revolutionizing focus areas in advanced manufacturing, bioengineering, computational engineering, energy and the environment, product design, and robotics. In