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Field
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-tier conferences. Demonstrated expertise in large language models (LLMs) and their application to AI security, autonomous system reasoning, software vulnerability detection, and robust agentic AI design
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models to predict TCR-peptide/MHC (pMHC) interactions. Utilizing structural computational biology techniques to characterize and model TCR-pMHC interactions. Designing experiments to test and validate
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time series modelling, age-period-cohort modelling and structural equation modelling. Whilst applicants need not to be familiar with ALL of these, they ought to be familiar with ONE (and to state in
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students, visiting scholars and researchers Conduct modelling, simulation and experimental research on mechanics of soft robotics Explore applications in the fields of transportation and search and rescue
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regression models using Stata or R. Collecting, managing, and structuring quantitative datasets Conceptualization of suitable empirical methodologies and models Statistical analyses of complex datasets and
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). The objective of this project is to enhance malaria control programs in Peru, Ecuador, and Brazil by expanding and improving early warning and surveillance systems, and modeling the impacts of coordinated
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students on research related work and provide guidance to PhD students where appropriate to the discipline Contribute to developing new models, techniques and methods Undertake management/administration
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modellers using advanced simulations to interpret and validate observations via data assimilation. There will be opportunities to spend time with project partners at UCLA (Prof. James McWilliams) and attend
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have the following responsibilities: Development and implementation of hardware and software; Data analysis and modelling; Coordination of field measurement and data analysis; Writing reports and
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quality modelling approaches to analyse the flow interactions between sewer discharge of surface runoff, as well as the dynamics of pollutants and pathogen propagations associated with water movements. The