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being undertaken in collaboration with UCL, King’s College London and University of Westminster. The project’s aims include dRTP community development, enhancing career pathways and structures and
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and the safety implications arising from these interacting processes. You will use and extend PyBaMM, which is an open-source Python-based battery modelling framework (https://pybamm.org
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. Objectives: Using our in-house python-based nonlinear aero-thermo-structural finite element solver you will investigate, understand, and optimise the behaviour of flight structures subjected to relatively
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of computational modelling techniques in healthcare or biomedical sciences, and in programming languages such as Python or Julia. Experience working with medical imaging in a research environment and proficiency in
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learning, data science, or natural language processing. You should have experience of working with large data sets, using Python and ML frameworks, and large language models (LLMs) for text processing tasks
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.: Matlab, Python, C++. Strong publication record and presentation at scientific meetings. Excellent written and verbal communication. Ability to work unsupervised and within a team. Excellent problem solving
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for Health across the School of Public Health Ability to work confidently with R and STATA/ Python To develop a broad range of research within the department, including methodological research in
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computational tools and models (Python-based) for protein sequence and structure prediction, design, and optimisation. Integrate computational predictions with experimental validation to create data-driven
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, biomechanics, or airflow/fluid dynamics Knowledge and hands-on experience with computational modelling techniques in healthcare or biomedical sciences, and proficiency in programming languages such as Python