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practice impact while also learning about machine learning techniques. The successful applicant will work in the newly formed Health Equity Evidence Centre and innovative new centre that will generate data
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social care, and investigating the use of reasonable adjustments to reduce healthcare inequalities, and a novel Machine Learning workstream to develop an intervention which may be implemented in routine
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of materials (e.g., combining structure prediction and machine learning). For example, we work closely with experts in computer science as part of the Leverhulme Research Centre for Functional Materials Design
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researchers to find and follow their passion. We offer fantastic opportunities for learning, development and professional growth. This project will provide hands-on insight into, and potentially lead to, career
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and PhD students. Research spans a wide range. Current interests include: Bayesian statistics; modelling of structure, geometry, and shape; statistical machine learning; computational statistics; high
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desirable. - Strong analytical skills, proficiency in quantitative analysis of large datasets and working with pre-trained machine learning models is desirable but not essential Click the 'Apply' button below
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lab members in advanced analysis techniques. The ideal candidate will have a strong research background in AI-driven human motion analysis, wearable robotics, and human-machine interaction. They should
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. Candidates with strong track records in tropical geometry, machine learning, and related areas are encouraged to apply. Applications are particularly welcome from women and minority ethnic candidates, who
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development of Machine Learning (ML) models and Digital Twins. 11. Engage in continuing professional development activities as appropriate. 12. Undertake any other duties of equivalent standing as assigned by
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. Proficient in Microsoft Office Software (Microsoft Word, Excel, PowerPoint), Scientific Data Analysis and Graphing Tools and other relevant computer-based tools used in a modern research environment