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Field
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, and building algorithms and prototypes. In addition, the other responsibilities include leading the development of social media data collection pipelines, inference methods and infrastructure
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, and building algorithms and prototypes. In addition, the other responsibilities include leading the development of social media data collection pipelines, inference methods and infrastructure
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creation and adaptation of domain-specific AI and data science pipelines, ensuring tools and workflows are tailored to the specifications of different fields. · Provide guidance on algorithm selection
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of Chicago Law School. Responsibilities will span all stages of research, including collecting data of in both tabular and spatial formats, developing algorithms that clean and organize data, conducting
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). Contribute to image processing and algorithm development to support the identification of novel biomarkers and disease phenotypes. Write clean, efficient code primarily in Python and work with Bash/Slurm
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responsibilities will span all stages of research, including collecting data of in both tabular and spatial formats, developing algorithms that clean and organize data, conducting statistical analyses, running
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using supervised and unsupervised machine learning/deep learning techniques for various research applications. Design and implement NLP algorithms and techniques for text preprocessing, feature extraction
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research activities, assists in preparing human subjects protocols, manages and analyzes data across multiple projects. Contributes to building traditional statistical models and machine learning algorithms
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with the goal of better understanding how places impact people. We develop machine-learning algorithms and non-linear measure of brain dynamics to quantify more vs. less effortful brain states. This is
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responsibilities include using and/ or developing numerical codes to simulate soil-water-structure interactions, the use of machine learning algorithms, and the use of inundation models to simulate the propagation