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of dosing strategies — in ways that complement or improve upon conventional development paradigms. Learning Objectives: As a participant, you will have structured learning opportunities in regulatory science
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. Description: JWST is returning a treasure trove of spectroscopic data, leading a revolution in our understanding of the structure, dynamics, and chemistry of primary planet-forming regions in protoplanetary
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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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cotton fiber structure affects coloration. You will engage with a multidisciplinary team spanning chemistry, plant science, textile technology, engineering, and data science. This team is dedicated to improving
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science that may inform future national assessments. Learning Objectives: Through this mentored research experience, you will: Gain experience compiling and comparing structured and unstructured datasets
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for fluid dynamics and fluid–structure interaction. Through engagement with the ongoing advancement of CorpsFOAM, built upon the OpenFOAM platform, you will explore how new modeling capabilities are created
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mathematical models to simulate and evaluate physical loading on biological structures. Health Hazard Assessment & Toxicology Metrics: Exploring how emerging OELs, action levels, and cumulative dosage models
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characterizing food allergen structure. The overall objective is to leverage mass-spectrometry and molecular biology to identify unique features of peanut and tree nut allergens. You must be willing to learn and
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activities, learning how to organize and synthesize information from diverse scientific programs. Under the guidance of a mentor you will perform a structured gap analysis to identify unmet research needs and
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modification of low value waste materials and their derivatives. Physical, chemical and instrumental analysis of raw materials and finished products are used to determine the structural characteristic and