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Field
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datasets are preferred. The Postdoctoral Associate will contribute to advanced statistical analyses, geospatial analysis, and data visualization, as well as to the development and dissemination of findings
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. Experience handling large and heterogeneous geophysical datasets including research basin observations and field data collection. Strong competence in data preparation/analysis/visualization with Python, R
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18,500 people, including over 14,000 students and 4,000 researchers from more than 120 different countries. Postdoctoral Researcher in Multimodal Human Sensing and Advanced Behavioral Data Analysis
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Sentinel-1/2 time series. Strong proficiency in Python for geospatial data analysis and machine learning (e.g. XGBoost), including model interpretation techniques (e.g. SHAP). Very good oral and written
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results and translate findings into actionable insights. Design and optimize predictive models of drug response, including the use of digital twin simulations. Assist in data visualization
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supports the University of Chicago and external researcher through experimental design, custom analyses, and data visualization, while also developing rapid, same-day quantitative assays to help clinicians
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metabolic pathways and targets. Data analysis and integration using R and/or Python, including statistical analysis, visualization, and multi-omics data handling in collaboration with the team. Collaborating
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composition and disease resistance improvement Bioinformatics & Data Analysis Develop and implement bioinformatics pipelines for processing and interpreting next-generation sequencing datasets Apply
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solutions. Strong analytical and problem-solving skills. Familiarity with data preprocessing and visualization techniques. Understanding of ethical considerations in AI and data privacy. Required
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and targeted panels Perform genomic analyses of natural saturation mut agenesis Perform mutational data analysis, visualization and modeling Contribute to manuscript preparation Contribute to data