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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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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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, 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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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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scale-up modelling Integration of strain performance, sustainability, and techno-economic constraints You will work closely with strain engineers, students, and collaborators in a highly integrated team
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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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programs—ranging from national infrastructure to major technological rollouts. The project focuses on developing intelligent decision architectures, predictive analytics, and adaptive computational models
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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