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), specifically the X-BRIDGE research program. Research will be in conjunction with the University of Maine and the UMaine Advanced Structural Composites Center (ASCC) and is within the area of innovative
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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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USDA-ARS Postdoctoral Research Opportunity: Development of Novel Vaccines for Poultry Viral Diseases
disease virus vaccines to prevent both Marek's disease and other poultry diseases. The project involves the construction of recombinant vaccines using molecularly cloned Marek's disease virus as a vector
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. Description: This research will support advancing our understanding of Venus’ gravity field, lithosphere, interior structure, and geologic evolution through the analysis of existing observations
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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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within the digital twin environment Developing deep learning architectures for time-series forecasting, anomaly detection, and predictive maintenance of the physical asset Designing and training Physics
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opportunities to receive hands-on experience that complements your educational and professional background in areas related to the agency mission in agronomy, planting, data collection, crop maintenance
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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