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Postdoctoral Associate to investigate the neural mechanisms underlying continual learning in humans. The successful candidate will develop computational models examining the tradeoff between task
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(MPM), or advanced Finite Element Methods). Physical modeling of tunnel excavation and ground response (e.g., geotechnical centrifuge testing, lab-scale TBM experiments). Probabilistic and reliability
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experimental and computational groups within the center. Successful applicants will be highly motivated with an interest in working in theoretical and computational chemistry and have research experience in
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. Muhammad Umar B. Niazi. The position focuses on the design and implementation of incentive mechanisms for sociotechnical and cyber-physical-human systems, with particular emphasis on smart mobility and urban
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within any of the relevant disciplines of the humanities, social sciences, and computer sciences are welcome to apply. The ideal candidate is a postdoctoral scholar seeking to examine and develop research
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, experts in climate physics and modeling, and AI, as part of the international project, M2 LInES https://m2lines.github.io . The successful candidate will contribute to building an AI multi-modal, multi
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including but not limited to Computer Science, Mathematics, Linguistics, Politics, and Psychology. We welcome researchers across a wide range of domains who will contribute to the creative growth of the CDS