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query evaluation, optimization, and reasoning under uncertainty. Design and analyze novel algorithms or theoretical models related to modern data management challenges (e.g., query feasibility, data
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. We are seeking a Postdoctoral Researcher to join the team and make significant contributions to the field. The researcher is expected to have (i) strong machine learning skills to improve model
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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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Post-Doctoral Associate in Sand Hazards and Opportunities for Resilience, Energy, and Sustainability
following areas: Large-deformation numerical modeling (e.g., Coupled Eulerian-Lagrangian (CEL), Material Point Method (MPM), or advanced Finite Element Methods). Physical modeling of tunnel excavation and
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models related to modern data management challenges (e.g., query feasibility, data correlations, probabilistic evaluation, scalability). Prototype and evaluate data system components or extensions
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and mathematical modelling are encouraged to apply. Terms of employment include competitive salary and benefits. Research in the SIT-D lab focuses on understanding and modelling consumers' behavior and
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collaboration between multiple research groups led primarily by Professor Tarek Abdoun and Professor Mostafa Mobasher. It involves a diverse range of activities including: structural and geotechnical modeling
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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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. The collaborative research will be on labor and education economics with a particular focus on structural models tied with labor market surveys to study the role of beliefs in the labor market in both developed and
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primarily research on Reinforcement Learning, and/or Optimal Control, and/or Model Predictive Control. RISC invites qualified applicants in the areas of electrical, computer, or mechanical engineering, or