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vehicles such as lipid nanoparticles (LNPs) • Create experimental protocols for cancerous, healthy human and microbial model cell membranes. • Establish predictive models for peptide-induced transport
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analysis tools such as Curie and/or ROOT Experience with using nuclear-reaction codes which are commonly used to predict the reaction cross sections for medical isotope production, e.g. TALYS, TENDL, CoH
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an institutional research office, academic affairs, or related higher education administrative unit. Experience developing data dashboards, predictive analytics, or visualization tools for program effectiveness
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plague outbreaks in Eurasia between 1300 and 1900 CE. A short description of the project can be found here: https://www.synergy-plague.org/research/introduction/. The project is funded through the European
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, and attractive living and learning environment. Responsibilities: Perform scheduled and assigned preventive maintenance (PM) and predictive maintenance (PDM) to identify or prevent potential plumbing
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hazards, enhancing asset protection, maritime security, emergency preparedness, and societal resilience. The project will leverage advanced AI and machine learning techniques to enable predictive risk
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opportunities? Do you have a background in Electric Power and/or Control Engineering, and are you interested in working at the intersection between both fields? As a PhD candidate with us, you will work toward
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long-term performance predictions. This PhD project aims to improve process-based understanding of infiltration dynamics in nature-based stormwater solutions by combining field monitoring, experimental
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and the core values that are critical for the long-term strategic growth of our division and the university. For more information, please visit https://finance.rutgers.edu/ . Posting Summary Rutgers
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for monitoring and predictive control of energy systems. Integration of hybrid and low-carbon energy systems to improve efficiency, reliability, and grid resilience. Successful candidates are expected to develop a