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new research collaboration with Ames Lab focused on studying the mechanisms of biomass degradation using multimodal imaging techniques. This position will specifically focus on the use of single-walled
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, Applied Mathematics, Physics, Chemical Engineering, or a related field. Preferred Qualifications: Experimental expertise (e.g., benchtop flow, porous media, hydrogels, imaging, and microfluidics) Experience
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and code qualitative data using research software (e.g., Dedoose) Contribute to research reports, manuscripts, conference proposals, and grant materials. Program Coordination & Outreach: Support the
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audiences Strong coding skills, preferably in Python Familiarity with computational tools for modeling biological systems. IMPORTANT: Applications must also be submitted online at https://isu.wd1