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algorithms and methods for adaptive and personalised feedback, modelling learning behaviours with sequence and deep learning methods, and generating interpretable insights through novel analytics and
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impactful observation-based analyses informing forecasting ocean and climate models. Meeting these challenges, within the European HORIZON EUROPE projects GEORGE (https://george-project.eu/ ) and TRICUSO
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and knowledgeable in the areas of stress analysis (including the Finite Element Method), material characterisation (particularly flow stress determination and modelling), mechanical testing methods
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representation methods for accelerated inverse design Large language, diffusion & graph neural models for materials discovery Fine tuning and architecture optimisation of foundation models Inverse design of next
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strategies in preclinical models (Fang Y, et al., JCI 2021, Zhou Z., et al., Nature BME 2021, Tao Y, et al., Adv Sci 2024). Dr. Zhang’s lab has developed a number of technical platforms that facilitate
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or create an account to save a job. Send job Key Responsibilities: Project planning, scheduling and management. Literature review of technologies and commercial market scanning. Modelling, simulation and
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. Robert Mann (University of Waterloo), as well as a team of HDR students. The research will explore quantum aspects of physical black holes, collapse models, and the properties of ultra-compact objects
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set-up, and data collection and analysis. - Have the ability to analyse and interpret data using appropriate statistical packages (e.g., conducting linear mixed effects models in R). - Have experience
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bosons, and searches for new physics beyond the Standard Model. The group has a long-standing history of contributions to the development and calibration of b-tagging for long-lived particles, large-R jet
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or microworlds, conduct laboratory studies, and construct computational cognitive models including paradigms in Cognitive Science (Instance-Based Learning models) or AI (Reinforcement Learning). The fellow will