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Field
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develop foundational security theory for agentic and multi-agent AI systems, as part of our research programme in multi-agent security. You will build formal models of security-relevant behaviour in
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expertise in cancer cell metabolism and blood cancers. Ideal candidates will have experience in genetic mouse models, cytometry, cell culture, and metabolic analyses. The project uniquely provides
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of conceptualization, design, modeling, fabrication, and experimental validation of novel robotic and mechanical systems, including soft actuators, hybrid robotic mechanisms, sensing-enabled structures, and human
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Falls Posting Context Statement Position Overview Lead research projects focusing on developing and optimizing network protocols for power systems. Explore innovative applications of AI in modeling and
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are eager to carry out research on statistical issues related to models and multiple sources of data describing ecological dynamics. The PhD project will address the following aims: 1) Develop efficient tools
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expertise in at least one (or more) of the following areas: Computer Architecture/Systems: Design, modeling, simulation, and/or physical design of heterogeneous system/processor architectures; Silicon
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practice and policy · drive translational research activities such as evidence synthesis, economic evaluations, and implementation science approaches that support improved models of care for high‑risk
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research projects in computer vision, machine learning, AI, and robotics. Projects may include physically-grounded AI guidance agents, modeling of multimodal data, and generative AI systems for situated
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this academic topic by applying data analysis, energy system and/or environmental modelling frameworks to analyze hydrogen systems as part of an interconnected energy-environment system. As a PhD candidate, you
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therapy. The project will involve both physics-based forward modeling of protein structures and reinforcement learning methods for optimizing the structures. The outcome from the models will be tested in