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Field
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-time Raschmodels - Perform simulation studies to assess the performance of the method - Develop open-source solutions to disseminate the method to the widest possible audience - Work data visualization
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experience in one or more of: large-scale data analysis, time-series photometry, spectroscopy, astrometry, Bayesian/statistical inference, and/or software development for astronomical datasets. Department
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of data. Assist in the supervision of undergraduate students. Conducting statistical analyses. Prepare manuscripts for publication. Experimental design and statistical analysis. As one of the world’s
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would have strong experience in some of the following areas: quantitative and qualitative data collection and analysis, geospatial data analysis, urban design, data visualization, and community engagement
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data analysis, urban design, data visualization, and community engagement skills. The Postdoctoral Associate will work closely with the Center Director and staff, AAP faculty associated with
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and creation of study designs and oversee data collection. Essential Functions: 1.) Data Analysis and Dissemination of Results The Postdoctoral Researcher will analyze data collected from on-going
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that you will obtain the PhD degree no later than 4 months after starting the Post Doc. You must have experience with quali-quantitative methods, tuning of LLM and computational data analysis and
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include statistical analysis, data management and collection, causal inference, network analysis, graph theory, visualizations, and online tool development. Experience in conducting online controlled
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experiments and corresponding data analysis. Following the successful demonstration of the technique, the candidate will collaborate with team members from material science to apply these methods to scientific
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; data collection and analysis. The various tasks must be able to be performed independently: Stereotaxic surgery in mice for AAV-based sensors injection and implantation of intracerebral recording devices