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and robustness of defenses and mitigations for AI systems, reverse engineering AI systems and models, and identifying new areas where security research is needed. We participate in communities
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and robustness of defenses and mitigations for AI systems, reverse engineering AI systems and models, and identifying new areas where security research is needed. We participate in communities
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-specific needs, but include: site evaluations or modeling, project coordination, interviews, data collection and/or analysis. Connections to professional practice and to emerging technology and ideas in
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sections on conceptual models, methodology, and significance. Collaborate with CARE leadership and project teams to prepare submissions to NIH, DoD, and private foundations. Develop an independent line
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alloys for energy applications in harsh environments using additive manufacturing. This research involves integrating computational modeling, machine learning, and experimental investigations to design and
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treatments for mental illness. To this end, we bridge computational models that target various levels of analysis, including the algorithms (e.g., reinforcement learning models) and their neural
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processing techniques, such as cold sintering, and requires strong skills in kinetic modeling and experimental design. The candidate will contribute to developing new workflows for electroceramics, optimize
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for food, feed, and fiber handling and storage. Apply mathematical modeling and scientific principles to optimize operational performance. Collaborate with faculty, graduate students, and industry partners
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. Preferred Qualifications Ph.D. degree in a biomedical science-related field Previous experience working with rodent models and rodent behavioral tests/analyses. A minimum of 3 years of laboratory experience
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Science, Immunology, Chemistry or related field with demonstrated productivity. Experimental skills in in vivo animal models, flow cytometry, molecular signaling pathways, genetic modification, CAR T functional assays