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| Electrical and Computer Engineering This position researches theoretical and experimental methods for the detection of counterfeit integrated circuits assists with the development of grant writing and
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of his/her scientific mentor to investigate how interoception circuits affect animal behavior using the zebrafish model; independently designs new analytical approaches and tools; performs experiments
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imaging data—primarily intraoral radiographs—integrated with clinical and behavioral data collected from multiple collaborating institutions. The overarching goal of this research is to enable early and
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Program Department: Medicine | Pathology Post Doctoral Scholar position in the laboratory of Hiroki Taniguchi Ph.D. Research focus is on understanding the molecular, cellular, and circuit mechanisms
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the supervision of Dr. Joseph Kwon. We’re seeking a creative Postdoctoral Scholar to join our team and advance cutting-edge multiscale and hybrid modeling—integrating first-principles simulations with
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| Integrated Systems Engineering The Spine Research Institute (SRI) is currently accepting applications for a post-doctoral position. This role offers an opportunity to contribute to cutting-edge research in
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Postdoctoral Researcher -Discovery and Bioengineered Production of High-Value Plant Natural Products
integrative approaches to take on complex scientific questions. The postdoctoral researcher will be responsible for designing and conducting hypothesis-driven research, preparing original research manuscripts
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Innovation, Inclusion and Equity, Care and Compassion, and Integrity and Respect. Our university community welcomes differences, encourages open-minded exploration and courageous thinking, and upholds freedom
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focusses on axon-glia interactions and on how glial metabolism regulates axon integrity and myelination (e.g., Nature Neuroscience, PMID 32807950; Nature Neuroscience, PMID 25195104; PNAS, PMID 28484008
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identifying and conducting interviews with pesticide applicators, coding responses to interviews and integrating interview responses using a mental models approach. It is expected that the successful candidate