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(Assessed at Application). Experience of, and skills in, undertaking advanced quantitative social science / health research, that involves complex analysis of large datasets, and running multilevel models
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patch-clamp and multi-electrode array electrophysiology to assess neuronal activity and synaptic function at both the single-cell and network levels. There will be opportunities to present your work
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Overview As a Research Associate in intelligent robotics for contact-rich manufacturing, you will develop advanced control and learning methods to enable robots to perform complex contact-rich tasks
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services, ensuring that students access the most appropriate service to best fit their needs. Manage urgent and complex cases taking appropriate action, in line with policy. Undertake robust risk assessments
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conditions such as COPD. The complexity of the human innate immune system, difficulties of working in vivo with higher organisms and genetic redundancy in vertebrates, has meant that simpler model organisms
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, personalized treatment planning, and improved patient outcomes. This project will focus on developing multi-modal AI models that can handle the complexities of medical data as well as the domain gap and
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and verbal communication skills, explaining complex concepts to non-technical audiences (assessed at: application and interview) Ability to work effectively with others (assessed at: application and
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/presentation) Excellent interpersonal and communications skills, both written and verbal, including robust note making skills, with a proven ability to articulate complex information to students and staff with
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Students Worldwide Dr M Val Martin, Dr Darpan Das, Dr Karen Exley, Dr RG Bryant, Dr S Moller Application Deadline: 07 April 2025 Details Are you passionate about solving complex environmental challenges
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Dr J Edmondson, Prof Katie Field, Prof Mark Hodson Application Deadline: 07 April 2025 Details Are you passionate about solving complex environmental challenges? Interested in creating non-toxic