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for developing and using systems to phenotype root systems in greenhouse and field settings under the guidance of research mentors. Build skills in root image processing and other data analysis activities using
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reference code: DHS-GRF-2027-Summer if you have any questions. Application Deadline 11/13/2026 11:59:00 PM Eastern Time Zone Description The U.S. Department of Homeland Security (DHS) Science and Technology
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new technology for protecting and enabling Soldiers and Warfighters, including sensing/imaging, quantum sensing, and quantum communications using these new sensing materials. These new materials could
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foundation models, fine-tuning & prompt engineering Physics-Informed Neural Networks & hybrid models Deep Reinforcement Learning for process optimization GANs, VAEs, diffusion models for synthetic data
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Degree: Doctoral Degree received within the last 36 month(s). Discipline(s): Computer, Information, and Data Sciences (1 ) Earth and Geosciences (2 ) Engineering (1 ) Environmental and Marine
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, plant science, engineering, textile technology, and data science. This team is dedicated to developing and improving methods for assessing cotton fiber quality across production, processing, and end-use
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, scientific, and regulatory steps required to translate in vitro molecular hits into small animal preclinical evaluation models. Processing and integrating complex transcriptomic, proteomic, and image-based
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, implementation of management treatments, and the use of coding and process-based models to analyze natural resource dynamics. Learning Objectives: Under the guidance of a mentor, you will build experience in plant
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coursework and/or a background in transportation, collection analysis, data analysis, computer programming, technology, outreach, and/or communications. Have a demonstrated ability to meet established
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therapeutics. The experience includes opportunities to learn the operation and upkeep of physiological and cell culture instrumentation, apply quality assurance and quality control practices, and contribute