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together with industrial partners? Do you like supervising students and participating in teaching? If you are a creative and analytical person and have a PhD in a field related to mathematical modeling and
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Combining models and combining data / Realistic simulation of clinical trials Developing LLMs to utilise ODEs and ProbML as tools, Code synthesis for causality Generalisability, transportability and
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• Constrained experimental design • Combining models and combining data / Realistic simulation of clinical trials • Developing LLMs to utilise ODEs and ProbML as tools, Code
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of longitudinal data (e.g., growth models) Experiencing of working with young people, schools, and / or people with mental health problems Downloading a copy of our Job Description Full details of the role and the
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, such as sedimentation, meltwater flow, and vegetation change, into active drivers of adaptive design. This interdisciplinary work combines advanced computational tools, including 4D point cloud modeling and
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drives, power electronics, electrolysers). Your role As a postdoctoral researcher, you will advance AI-based technologies for modelling, control, and optimisation of next-generation energy conversion
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of agent-based and/or continuum modelling, analysis and simulation. You will have experience of programming in Python and C++, or demonstrated ability to rapidly acquire fluent knowledge of new programming
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Desirable criteria Knowledge of advanced statistical methods for analysis of longitudinal data (e.g., growth models) Experiencing of working with young people, schools, and / or people with mental health
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engineering, or related disciplines who are passionate about applying machine learning to real-world clinical challenges. The successful candidate will lead the development and validation of predictive models
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simulations, generalize experimental observations, and offer insight on the response of selected case studies. You should hold a PhD/DPhil (or be near completion) in numerical modelling for geotechnical