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and publishing information from long-term datasets. You will have opportunities to participate in most phases of the research cycle, including field visits, data management and analysis, literature
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design with hands-on wet-lab expression, purification, and biophysical characterization. You will have the opportunity to learn and gain experience at the intersection of structural biology, AI, and
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transcriptomic and other genomic analysis approaches Apply laboratory techniques, sample processing, and data interpretation in a research setting Mentor(s): The mentor for this opportunity is David Holthausen
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. Please note that field research may occur during adverse weather (e.g., extreme heat or cold, during rainfall events). Laboratory activities may include processing soil, plant or water samples for analysis
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chemical transport processes. We pursue continued refinement and application of these models and data analysis tools to improve our understanding of deep convective systems as well as tropical and
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, testing, and data analysis, working in both laboratory and field settings, including ground and airborne campaigns. We are seeking candidates with a strong background in laboratory instrumentation, radar
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, including topic modeling, named entity recognition, and text-data analysis. Learn to apply large language models to real-world environmental health questions and public health challenges. Participate in
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scientific reports, and presenting research progress during group meetings. You will also gain hands-on experience with a variety of analytical techniques such as GCMS, elemental analysis, Karl Fisher
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; surveillance-data analysis; and scientific manuscript development for peer-reviewed publication. Gain experience with updates to DNPAO’s interactive, web-based data portal that displays Division surveillance
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propagation, aspects of insect biology, analysis of substrate-borne vibrations, and presentation of research findings. Learning Objectives: Under the guidance of a mentor, you will have the opportunity