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research in this or related fields proven expertise in metabolic studies using mouse models, including manipulating protein expression via AAV methods and generating high‑quality tissue proteomics datasets
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, signal processing and inverse modelling. The role is based at the Image X Institute and will be led by Dr Chandrima Sengupta. You will benefit from a strong mentoring environment; lead and be part of high
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the following: digital twins, cyberphysical systems, human-centred AI causal modelling, uncertainty quantification, explainable AI, or trustworthy AI agentic AI, multiagent systems, sequential decision
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density) influence energy dissipation develop mathematical models to predict and explain these effects collect and analyse data, including with the use of machine learning use this knowledge to design
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-culture, single-cell RNA sequencing, data analysis and in vivo models—to interrogate B cell responses in human samples and pre-clinical systems. This research aims to generate mechanistic insight
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requirements definition, CAD/FEA modelling, multi-objective optimisation (e.g., DOE/GA/surrogates), prototype build, and laboratory validation. Track record of peer-reviewed publications (e.g., IEEE and IET
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physiological experiments including whole-body plethysmography, blood pressure radiotelemetry, electrophysiological nerve recordings, and chemogenetic and optogenetic manipulation in mouse models. Contributing
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-aneutronic fusion energy reactor concepts. For HB-11 Energy, the results will directly inform the company’s technology roadmap and contribute to balance-of-plant modelling to assess economic viability
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well as the opportunities and challenges for future supply. Anticipated outcomes include an understanding of how the emergent policy context will shape student housing delivery and trace the potential for new models
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or observing programmes Machine learning in physical science, especially with transformer models Jax, PyTorch, and/or Julia; with probabilistic programming languages; or with high-dimensional optimization and