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techniques. You will have the opportunity to participate in various projects utilizing artificial intelligence (AI) and machine learning (ML) to develop applications that optimize combat casualty care
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, you will receive hands-on learning within the USACE hydrological research domain, with a focus on gaining experience on process-based flood frequency analysis and interagency collaboration between USACE
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have an interest in substance use, posttraumatic and/or operational stress, suicidality, and artificial intelligence/machine learning (AI/ML). What will I be doing and why should I apply? As the selected
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through scientific excellence. Research Project: This project entails collaborating on a clinical intervention study to investigate the impact of the physical processing of food on ingestive behaviors and
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documenting insights that can inform Agency-wide AI governance and implementation efforts. You will apply machine learning methods and applied AI tools, including experience with large language models (LLMs
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to evolutionary time scales. One of the goals of the SCINet Initiative is to develop and apply new technologies, including AI and machine learning (ML), to help solve complex agricultural problems that also depend
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to evolutionary time scales. One of the goals of the SCINet Initiative is to develop and apply new technologies, including AI and machine learning (ML), to help solve complex agricultural problems that also depend
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Eligibility Requirements Degree: Doctoral Degree received within the last 60 month(s). Discipline(s): Business (11 ) Communications and Graphics Design (6 ) Computer, Information, and Data Sciences (17
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, and sub-daily to evolutionary time scales. One of the goals of the SCINet Initiative is to develop and apply new technologies, including AI and machine learning (ML), to help solve complex agricultural
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interacts with the human body—making it a key factor in both product performance and consumer satisfaction. You will also apply statistical and machine-learning tools to explore how cotton fiber properties