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includes the possibility of an annual 1-1 teaching load. Education and Experience: Applicants must have completed a Ph.D. in mathematics, applied mathematics, or a closely related field such as statistics
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is to develop computationally efficient reduced-order dynamical systems on graph with modern power grid systems as an application. Education and Experience: Applicants must have recently completed a
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of singularities, optimal control, and applications to macroscopic models of traffic flow. Teaching may be required. Education and Experience: Applicants must have recently completed a Ph.D. and have exceptional
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proposals, presenting research both on campus and at national/international conferences. Providing mentorship to graduate students and staff in the lab. Experience/Education Guidelines: Prospective candidates
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and contribute to hypothesis-driven experimental design. Prepare manuscripts and assist with grant applications. Present research findings at national and international scientific meetings. Mentor
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will: Develop and utilize human iPSC-derived cardiomyocyte models. Apply genome-editing technologies, including CRISPR-based methods. Perform mechanistic studies integrating electrophysiology and
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scholars. The overall goal is to: (1) develop and apply statistical genomic methods to analyze multi-omics datasets for understanding complex disease etiology and (2) develop and apply novel statistical
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. We embrace individual uniqueness, as well as a culture of belonging that supports equity initiatives, leverages the educational and institutional benefits of inclusion in society, and provides
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goal is to develop targeted therapeutic strategies that modulate ion channel activity. Under the guidance of the principal investigator, the postdoc will take responsibility for specific, ongoing
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, leverages the educational and institutional benefits of inclusion in society, and provides opportunities for engagement intended to help all members of the community thrive. We value belonging as a core