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promoters. Digital Phenotyping: Application of hyperspectral imaging and advanced imaging tools to detect disease traits beyond the visible spectrum. AI-Driven Data Analysis: Leveraging machine learning
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tolerance for varietal selection. Learning Objectives: Participant will gain laboratory, field, and programming skills to develop the digital twin and other AI models using ground and above-ground sensors and
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advance the care for Service members with amputation Collecting and processing human motion capture data Gaining experience on multiple projects involving lower limb amputation Learning about grant proposal
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, if you have additional questions about the application process, please email ORISE.ARS.PacificWest@orau.org and include the reference code for this opportunity. Qualifications The qualified candidate
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or currently pursuing. Minimum Overall GPA: 2.50 Discipline(s): Business (11 ) Chemistry and Materials Sciences (12 ) Communications and Graphics Design (6 ) Computer, Information, and Data Sciences (17
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team. Anticipated learning objectives for this opportunity include, but are not limited to: Understanding Material Development: Gain knowledge of the principles and processes involved in the synthesis