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will also gain experience analyzing and visualizing trends related to importing infectious biological agents into the United States. Learning Objectives: Gain experience supporting CDC efforts to prevent
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procedures to ensure consistent and reliable data collection across multiple samples. Implement diagnostic methods, such as fiber index profiling and microscopic visual inspection, to analyze post-processing
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phylogenetic analysis; Automate the production of tables, figures, visualizations, and quality-control summaries; Integrate genomic, laboratory, and epidemiologic data from multiple sources; Train to develop
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learning algorithms. Collaborating with industry partners to understand operational requirements and developing AI pipelines for analysing visual and sensor data collected during inspection processes
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, fieldwork, data management, visual communication, project administration, rigorous research documentation and the preparation of research publication outputs. Working closely with the Principal Investigator
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. Experience developing concise analytical products, visualizations, presentations, or other decision-support materials. Ability to collaborate effectively across scientific and programmatic disciplines and
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, or chemistry. Preferred Qualifications: Strong analytical skills are beneficial, including but not limited to XRD, IR, SEM-EDS, TGA, DTA, and electrochemical techniques. Experience with data visualization and
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Postdoctoral/Research Fellows in Asia Research Institute (Food Politics and Society Cluster FY27/28)
skills to using visual and textual tools, as well as leveraging quantitative datasets. Open to examination of contemporary developments and historical trajectories, the empirical locus of the cluster’s
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communities from harmful health effects related to exposure to natural and human-made hazardous substances. ATSDR responds to environmental health emergencies, investigates emerging environmental health threats
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advanced visual perception methods for reliable object detection, scene understanding, and interaction under adverse environment conditions. The goal is to enable fully autonomous execution of complex