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systems, and analytical methods to meet partner objectives Prepare, analyze, and interpret complex data; disseminate findings through peer-reviewed publications, presentations, and technical reports Write
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vivo evaluations Develop and validate innovative formulations, delivery systems, and analytical methods to meet partner objectives Prepare, analyze, and interpret complex data; disseminate findings
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adversarial AI and out-of-distribution detection. The successful candidate will have a strong track record in top-tier AI publications, outstanding presentation and leadership skills. Responsibilities
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apprenticeship-style training in laboratory methods and embedded security research. Support project management by tracking milestones and deadlines, assisting with acquisition of laboratory resources, preparing
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), with a track record of working with large, complex datasets. This includes collecting, managing, analyzing, and visualizing/communicating data to a variety of audiences: the general public, scholars
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tracking milestones and deadlines, preparing project updates, meeting quarterly with sponsors, and coordinating with the PI on active research activities. Secondary Responsibilities Occasionally guest
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of recommendation MINIMUM QUALIFICATIONS Candidates should have a Ph.D. in Physics, Mathematics, or Computer Science. A strong track record of research accomplishments in technical fields, ideally involving
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-style training in sustainability science. Support project management by tracking milestones and deadlines, preparing project updates, meeting quarterly with sponsors, and coordinating with the PI
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-style training in laboratory methods and embedded security research. ● Support project management by tracking milestones and deadlines, assisting with acquisition of laboratory resources, preparing
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, social/digital media and health outcomes are a plus. Preferred Qualifications Candidates with a track record in conducting mixed methods research, including population-based surveys, qualitative methods