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associate will lead collaborative efforts in advancing research focusing on the intersection of infrastructure, climate, and human health. Examples of current active projects include: Developing optimization
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. The group will be contributing to the Physics Modeling (MC software, MC validation and Pileup modeling), the MET High-Level Trigger validation, optimization and performance studies, and to the heterogeneous
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. The researcher is expected to have (i) strong machine learning skills to improve model performance and robustness, and (ii) exemplary passion and motivation to pursue multidisciplinary research at the intersection
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postdoctoral researchers interested in exploring the origins of human behavioral diversity, developing empirically-informed models of human behavior, and designing innovative institutions and policies
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Post-Doctoral Associate in Sand Hazards and Opportunities for Resilience, Energy, and Sustainability
related to the advancement of multidisciplinary research supporting the digitalization of the built environment. The selected researcher will expand the current research in the area of AI- and ML-powered
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approaches. Formal models are directly applied in real experimental facilities. Marine Robotics is our current emphasis, without excluding candidates with prior experience on Aerial or Ground Systems. We
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spectrum candidates beyond the current 5G NR range, including FR3 (7–24 GHz) and the THz band (100 GHz and above). The PDA will be jointly supervised by Qurrat-Ul-Ain Nadeem, Marwa Chafii and Murat Uysal
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associate will lead collaborative efforts in advancing research focusing on the intersection of infrastructure, climate, and human health. Examples of current active projects include: Developing optimization
-
. The group will be contributing to the Physics Modeling (MC software, MC validation and Pileup modeling), the MET High-Level Trigger validation, optimization and performance studies, and to the heterogeneous
-
. The researcher is expected to have (i) strong machine learning skills to improve model performance and robustness, and (ii) exemplary passion and motivation to pursue multidisciplinary research at the intersection