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analysis skills and experience in statistical modelling, data wrangling, and analysis of complex behavioural datasets using R, Stata, or other statistical software packages. Experience of developing
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for functional validation, fostering hypothesis-driven translational research. You will develop, tailor, and implement methodologies, tools, and informatics structures for data analysis and management in
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experts to acquire bespoke training and testing data; develop prototype solutions informed by the latest ideas in medical imaging AI, computer vision and robotic guidance; and evaluate models in simulated
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-term carbon cycle and over the coming century. This PDRA position will focus on model approaches to quantifying CO2 exchanges associated with chemical weathering associated with the warming cryosphere
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• Uncertainty quantification around LLMs • Constrained optimal experimental design (active learning) • Combining models and combining data / Realistic simulation of clinical trials • Developing
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analyses to patient-derived samples and disease models. Working closely with a dynamic and multidisciplinary team of clinicians and scientists, they will help generate and interpret high-resolution datasets
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neuronal models, and for generating novel cell lines with mutations in TARDBP (gene coding for TDP-43) using CRISPR-Cas9 genome editing. You will utilise bulk, long-read and iCLIP RNA-sequencing approaches
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operations and supervision, supporting PhD and master’s students, and presenting findings across the alliance. The position is based at the Old Road Campus Research Building, Roosevelt Drive, Headington
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original research on the grid integration of second life battery storage systems. The research will bring together second-life battery modelling, power system optimisation and technoeconomic evaluation
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, computational modelling, and in vivo physiology—to dissect cholesterol‑mediated modulation of key receptors like Glucagon receptor and GLP‑1R, with direct relevance to metabolic disease therapeutics. The Siebold