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Job no:534628 Work type:Faculty - Other Location:Eugene, OR Categories:Research/Scientific/Grants, Physics, Neuroscience Department:Research Department: Institute of Neuroscience Rank: Postdoctoral
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theoretical models for real ecosystems, and contribute to the design of novel restoration protocols and conservation measures. The position is expected to begin as soon as possible after September 1, 2025
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and other new physics •Collaborate with members of Q-SEnSE Institute and QuSeC-TAQS project on the design and analysis of relevant experiments •Collaborate with theoretical AMO and particle physics
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
semiparametric/nonparametric methods. (Additional experience in longitudinal data analysis and survival analysis is advantageous.) - Ability to develop statistical methods and derive their theoretical properties
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authentic learning experiences within real-world settings. Through strategic partnerships forged by our academic staff with industry, learners bridge theoretical knowledge with practical application inside
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of our faculty is oriented towards Biological and Biomedical Physics, two of the fastest growing subdisciplines of the profession. Our research interests include experimental, theoretical and computational
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. Minimum Qualifications: Education: Ph.D. or equivalent in engineering, physics, chemistry, or any biomedical science Preferred Experience: A strong background in the theoretical and experimental aspects
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are specifically looking for candidates who possess a strong background in theoretical and computational modeling of biological systems, soft matter, or statistical physics. The positions will commence in January
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transformation of RIDE into a modular, interactive digital tool (integration with existing university systems, no programming required). Finish the ethical approval process. Phase 1 – Design Research (6 months
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or related fields, with strong theoretical and experimental background in nanophotonics and optoelectronics devices. Extensive micro- and nano-fabrication experience is a must. Benefits at UTA We