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extractors. Hands-on training will be provided in the characterization of plant proteins, including assessment of secondary structure, surface charge and hydrophobicity, thermal properties, digestibility
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medicines. Research Project: This proposed study investigates the complex micro and nanoscale structures of buprenorphine sublingual films to address the current lack of regulatory guidance on Q3
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rainfall–runoff models, such as HEC-HMS and the National Water Model, to support more reliable flood frequency analysis and improve flash flood predictions in small watersheds. Under the guidance of a mentor
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structures, molecular networks, and disease-resistance phenotypes. Artificial intelligence (AI), machine learning, and bioinformatics will connect genotypes with phenotypes and identify maize and fungal genes
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, each offering structured training and hands-on learning experiences. Project 1: Research and Data Analysis You will gain experience in data science for PHSA’s core research portfolio. Activities will
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approaches used to support reliable pathogen detection. This project aligns with IDPB’s public health mission to develop, improve, evaluate, and apply laboratory technology to detect microbial agents
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-career professionals to conduct research related to modernizing the power grid, improving energy infrastructure, and strengthening the affordability, reliability, and security of the U.S. power system
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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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systems, documentation protocols, standard operating procedures, data integrity protection, and the necessity of generating reliable laboratory results. Scientific data interpretation and problem-solving
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quality-control materials, analytical review criteria, repeat-testing criteria, and evaluation of data reliability. Laboratory documentation and risk assessment – You may gain experience developing project