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Field
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and their interactions with peptides. This primarily includes small angle X-ray and neutron scattering (SAXS/SANS) along with theoretical model analysis including the use of multi-scale and artificial
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behavioral techniques Biyu Jade He - awareness and conscious/unconscious processing using EEG, MEG and MRI David Heeger = computational models of visual processing Roozbeh Kiani - visually based decision
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. Modeling dynamical systems Designing and extending algorithms grounded in probabilistic machine learning Applying statistical techniques to assess robustness and generalization. Development of methods
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on robustness, reliability, and trustworthiness. Developing evaluation methodologies that combine quantitative metrics with qualitative expert assessment. Investigating model behavior, failure modes, and
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models of early mouse embryogenesis that couple collective cell mechanics with gene regulation. The goal is to identify the physical and mechanochemical principles underlying symmetry breaking and self
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probabilistic behavioral models for verification, performance evaluation, and optimization using model-checking techniques, ultimately bridging static system design and dynamic operational analysis. We offer
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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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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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independently in techniques such as Mass spectrometry, and traditional laboratory-based techniques such as histology (IHC and IF), western blots and ELISAs. competency working with small animal models, and
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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