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with AI as one tool of choice, for targeted or frugal innovations to ensure resilience to compound extremes, assure clean water or air, prevent cascading failures across interconnected systems, and adapt
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the laboratory. Qualifications: A PhD degree with a focus in pharmaceutics, pharmacokinetics, pharmacology, biomedical or chemical engineering, or other related field. Hands-on proficiency in formulation
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(NO) for threat deterrence, risk assessment, and resource allocation in the broad area of transportation security. An earned PhD in computer science or transportation engineering or related areas, or at least
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hold a terminal degree (PhD, Master’s, or equivalent) in their proposed area of research by the appointment start date. Applicants with prior studio teaching experience are strongly encouraged to apply
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successful preclinical and clinical programs. At Northeastern, the Fellow will be involved in publications, presentations, and mentoring junior level students in the laboratory. Candidate Qualifications: A PhD
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new applications. Qualifications: Must have a PhD or equivalent in engineering or mathematics. Must be able to undertake full-time research and scholarship. Must be able to work in collaborative multi
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social justice are of particular interest in this critical moment. Qualifications: Applicants should have received their PhD in a relevant field between May 2020 and May 2024 and have college or university