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Tumour heterogeneity is a major problem limiting the efficacy of targeted oncological therapies. Most advanced tumours eventually become resistant to the treatments, ultimately making the patient succumb to metastatic disease.
This project invites you to develop advanced computational modelling to maximise survival of a patient by combining cancer genomics data with pharmacometrics information for the first time, which might inform personalised cancer treatments.
For successful model development, we need to articulate these 4 main questions with AI-driven and PK/PD modelling methods.
We encourage students from quantitative sciences and pharmacology backgrounds to apply. Good BSc minimum. Master’s degree desirable.
To apply for this opportunity, please send your CV, covering letter and references to the Project Supervisor, Dr Tao You ([Email Address Removed]).
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