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-making for medics operating in challenging and remote environments. The core of the project involves integrating LLMs with established guided protocols, such as the Independent Duty Medical Technician
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fusion (LPBF) additive manufacturing systems to produce and evaluate high-temperature metal alloys. As an ORISE participant, you will join a collaborative research environment alongside scientists and
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will learn how to leverage Large Language Models (LLMs) to address real-world environmental health challenges. You will be immersed in a collaborative multi-disciplinary team environment, participating
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The United States Army Research Institute of Environmental Medicine (USARIEM) is offering a post-bachelor's-level fellowship in biomedical/mathematical modeling of humans exposed to extreme and austere environments
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or simulated data to address statistical problems in a stimulating, collaborative, and supportive environment. Past research project areas have included modeling and simulation, missing data, noninferiority
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, piloting, and scaling AI tools within OPLIA. Activities will include analyzing emerging AI methodologies, contributing to frameworks that guide responsible AI adoption in a regulatory environment, and
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to data quality and reproducibility, and the ability to act both independently and collaboratively in a multidisciplinary research environment. Point of Contact Ashley Eligibility Requirements Citizenship
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or bachelor's degree in the one of the relevant fields. We are seeking applicants interested in contributing to an environment that values creative and critical thinking, communication, and collaboration. Point
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research setting Ability to perform animal and laboratory research in biosecurity level 2 (BSL-2) environments Experience performing antemortem (e.g. blood, swabs) and post-mortem (e.g. tissues) evaluations
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Knowledge of swine veterinary science, virology, and/or immunology Ability to perform animal and laboratory research in biosecurity level 2 (BSL-2) environments Ability to handle and restrain pigs