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)) models are used at all stages of pre-clinical and clinical development, but they are based on mathematical and statistical principles dating from the 1970s. Developing these pharmacometric models remains a
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Master’s degree (preferably with a merit or distinction) in a social, biological or mathematical subject, or computer science. UKRI Minimum Stipend Research Training & Support Grant Institutional & CDT
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they are based on mathematical and statistical principles dating from the 1970s. Developing these pharmacometric models remains a laborious task where highly qualified staff spend large amounts of time. Aims
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AI has the potential to revolutionise healthcare, providing tools for fast and reliable analysis and interpretation of medical data. For instance, many deep learning models for medical image analysis have been recently developed and deployed in the clinic, assisting doctors with diagnosing and...
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, or higher) degree in Mathematics, Computer Science, Statistics, Engineering, Physics, or related STEM areas. Scholarship: The studentship is for 3 years and will provide an annual tax-free stipend of £20,662
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prediction. This project is a collaborative effort between the School of Computing & Mathematical Sciences (CMS) and the School of Engineering (SoE) to utilise expertise and facilities between two schools
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Faculty of Computing, Mathematics, Engineering & Natural Sciences Funded PhD Project (UK or International Students) Funding provider: Northeastern University London (NU London) Subject areas
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to power engineering, mathematics, computing and energy economics. The successful candidate will have excellent understanding in the fields of power system operations and economics. Experience in data
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Novel topologies and technologies for advanced reluctance machines Key information Lead supervisors: Dr Pedram Asef Application deadline: 15 June 2024 Project start date: 01 October 2024 Project duration: 4 years Studentship funding: Full Home/UK tuition fees (currently £6,035/year) and...
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at Imperial College London. You will have a 1st or 2:1 class honours degree in mechanical engineering, physics, mathematics, or a related subject, and an enquiring and rigorous approach to research together