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of the project, plan and prioritise your own research activities, and maintain accurate experimental records and data analysis throughout. You will work collaboratively within the National Alternative Protein
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the current titers through process parameter optimisation and develop a multi sensor flask system to accelerate scale-up data collection . You will focus on the development of continuous fermentation and
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neurodegenerative disorders. The role centres on enabling high-quality, reproducible analysis across prescription data, longitudinal clinical records, wearable time-series data, and multi-omics datasets, with
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these representations to guide the identification, by debate, of (non-)compliance to PRLs of LLMs and T2Is; O3) in the case of non-compliance, using information conveyed in the debates to enforce PRLs on LLMs and T2Is
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‑bounded turbulence. This short, intensive 9‑month position offers an exciting opportunity to advance fundamental turbulence research using DNS/LES and data-driven optimisation techniques. In this role, you
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cutting-edge statistical models in regions where open data is not available. While heatwaves are becoming more frequent and intense across the globe due to climate change, there are persistent challenges in
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chemical biology and medicinal chemistry, drug discovery, data-rich discovery science, and AI/ML-enabled therapeutic research. The successful candidate will develop and lead an internationally competitive
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Intelligence, data science and biomedical modelling. This post is funded by Glaxo Smith Kline Research and Development Ltd. You will be part of MiMeC, a new collaboration applying mechanistic and data-driven
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transition. You will work closely with faculty, departmental teams and central professional services colleagues to coordinate processes, manage information, and support a range of operational tasks. Your work
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biomarkers. This key role will lead recruitment, assessment, monitoring, and testing of patients in this clinical trial, as well as in our linked prospective observational cohort led by the Imperial Small