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at UCLA The Peng Lab at the University of California, Los Angeles, is seeking highly motivated Postdoctoral Scholars with expertise in data science and bioinformatics to drive groundbreaking discoveries in
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, gene therapy, drug delivery, etc. Prior experience in these areas is preferred. The Huo lab is particularly interested in using the visual system to address post-genomic era challenges (e.g., translate
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, including in computational tasks where data visualization, preprocessing, or interpretation can be improved. Devises and deploys custom machine learning approaches where applicable. Provides feedback and
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research findings and assists in the reporting of the results. Processing and visualizing fMRI data. Conducts ultrasound-based therapies and imaging. Conscientious discharge of research responsibilities
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/neuropixel probes and electrical microstimulation to study attention and decision making networks in a behaving animal model together with parallel studies in humans. The project is part of a NIMH Silvio O
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analyses for mainstream audiences and decision-makers; publish both academic articles and popular reports; and co-develop online data visualization tools. The ideal candidate will possess strong
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for 4 years, and the starting date for the positions is flexible. The duration of the doctoral positions is 4 years, but the length of the postdoc position is negotiable. The positions are in
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analysis and Excel Experience with data analysis programming (visual studio/visual basic) Excellent written and oral communication skills Demonstrated ability to function well in a fast-paced research
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analysis using the Digital Signal Processing (DSP) toolbox in MATLAB (including novel analyses), and data visualization via YAEL (Your Advanced Electrode Localizer). The successful candidate will also have
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interpreting experimental data, including selection of appropriate statistical tests and data visualization; Preparing research reports, scientific manuscripts, and conference presentations; Maintaining