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engineering. This unique position combines cutting-edge computational modeling with hands-on laboratory experimentation to design and validate novel proteins using state-of-the-art protein language models. Key
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literacy and empower teams with tools and training. Design and implement models to predict application volume, yield, deposit numbers, and scholarship impact. Work Interactions The AD reports directly to the
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experience with healthcare applications of machine learning Prior experience with deepfake detection or computer vision and media analysis models Work Mode Designation This position has been designated as
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to provide support using state of the art biostatical methodologies for health services research studies and programs including model development, health program design, hypothesis testing, and data management
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Prevention and Control Program (CPC) at Georgetown University is currently seeking applications for a highly motivated Research Associate (RA) to join a team to model the natural history of chronic obstructive
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modeling, and analysis and computation) Strong interpersonal skills (the successful candidate must have the presence coupled with the ability to drive change through influence; a demonstrated capability to
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calendar for events. Lead the ongoing planning, implementation, and evaluation of an informed, inclusive, accessible, and welcoming health promotion and peer education program, while focusing on fun
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gases. This project will involve the development of sophisticated computer models of these emissions as well as on-the-ground measurements (i.e. flask sampling) around the globe. The offices of the HFC
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of sophisticated computer models of these emissions as well as on-the-ground measurements (i.e. flask sampling) around the globe. The offices of the HFC Monitoring Project will be at the newly renovated GU Capital
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university more broadly. The successful candidate will become a member of the Georgetown Lombardi Comprehensive Cancer Center in the Cancer Prevention and Control Program. The Cancer Prevention and Control