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Field
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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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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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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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; 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
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well as university partners on coastal methods and validation strategies. Mentor summer students on data analysis and visualization workflows. Publish in peer-reviewed journals, present at scientific conferences, and
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to quantify surface waves and their corresponding processes, including turbulence, wave breaking, bubble entrainment, and spray generation. Experimental Data Analysis: Utilize MATLAB, Python, and LabVIEW
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and are also involved in planetary missions and climate modeling. These research projects produce large data sets and require computational analysis and visualization. Your skills will make a difference
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experiments, natural language processing, and network modeling. Experience mentoring students. Expertise in Python and TensorFlow. Proficiency in R, SQL for data analysis and visualization. Preferred
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experiments, natural language processing, and network modeling. Experience mentoring students. Expertise in Python and TensorFlow. Proficiency in R, SQL for data analysis and visualization. Preferred