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drug safety studies, comparative effectiveness research, pharmacoepidemiologic methods, clinical epidemiology, and health services research. They regularly collaborate with researchers across campus
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. ELLIS is a pan-European AI network of excellence dedicated to securing Europe’s international leadership in AI by connecting top researchers and building a multi-centric research laboratory. As of 2025
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integration. From our mission to our collaborative culture, NLR stands out in the research community for its commitment to an affordable and secure energy future. Spanning foundational science to applied
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here: https://www.montana.edu/qcore/ The successful candidate will be expected to pursue an independent research program in the realm of quantum mathematics and to interact with the other faculty and
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the entire research group and one-on-one meetings with Professor Novak. Attend relevant lectures, seminars, and training sessions. Maintain the highest safety standards and adhere to University policies
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Business Belts. IBS aims to discover creative knowledge and secure original technologies through world-class basic science research. The Center for Geometry and Physics at the Institute for Basic Science
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Department of Data Science and Artificial Intelligence Research Assistant Professor in Biometrics, Artificial Intelligence Security and Forensics (Ref. 251014001) The Department of Data Science and
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Postdoc in pharmacoepidemiology: Long-term safety and benefits of ADHD medication in children and...
project investigating the long-term safety and beneficial effects of ADHD medication in children, adolescents and young adults, as well geographical variation in access to support and diagnostic pathways
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- In addition to the above amounts, voluntary social security (SSV) is included when the grant has a duration of six months or more, corresponding to the first level, if the candidate opts for it, as
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environments and capabilities. Second, the project emphasises the creation of security, privacy-enhancing, and trust-aware services to ensure resilience and compliance in distributed AI-enabled applications