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energy goals. ESIA also develops, deploy, and advance grid technologies that ensure a robust and secure U.S. grid transmission and distribution system. We collaborate with government agencies as
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. Preferred Qualifications: Experience in decision analysis and developing computer-based simulations to model either infectious or non-infectious diseases. Evidence of research productivity in mathematical
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the framework of the LPJ-GUESS Dynamic Global Vegetation Model. Geologists in the team will advance the state-of-the-art in reconstructing Oligocene to Miocene C3 /C4 transitions, which will be used to test the
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1 Postdoctoral Researcher position. Part-time 40 hours/month distributed unequally, gross hourly salary of 240 lei, fixed period until June 30, 2026. The project is entitled “A Study of Consumer Trust
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Postdoctoral Researcher position. Part-time 80 hours/month distributed unequally, gross hourly salary of 80 lei, fixed period until June 30, 2026. The project is entitled “A Study of Consumer Trust in Online
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Postdoctoral Researcher position. Part-time 50 hours/month distributed unequally, gross hourly salary of 80 lei, fixed period until June 30, 2026. The project is entitled “A Study of Consumer Trust in Online
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Resilient Distributed and Agentic. RESIST will drive world-class research in the intersection between AI and cybersecurity through a strong, stimulating and well connected international research environment
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anticipation. Unlike static distributions, these models should represent the spatiotemporal transition functions of human states—predicting how a person will move or interact with objects(/persons) based
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for integrating and interpreting data generated within digitally enabled postharvest systems, including distributed and near-real-time data streams. Investigate the potential role of data-driven and artificial
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engineering; Formal methods, models, and languages; Interactive and cognitive systems; Distributed systems, parallel computing, and networks. The successful candidate will work closely with teams specializing