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disorders, using these datasets to build models of neurodegenerative tauopathies, and building a framework for the development and implementation of machine learning models. The applicant will join a friendly
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characterisation of extracellular vesicles (EVs) from a range of sources as well as high content microscopy and cardio-metabolic phenotyping in rodent models. Our main research interest is in understanding how
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Environment Research Council (NERC) and the Advanced Research + Innovation Agency (subject to contract negotiations), in the atmospheric chemistry-climate modelling research groups of Prof Alex Archibald, Prof
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research group. The successful candidate will benefit from building upon novel datasets, exciting preliminary findings, and using unique experimental model systems. Techniques will include multiple imaging
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) The successful candidate will contribute to cutting-edge research on the early detection and prevention of primary liver cancer using mouse models and human tissues. Experience in immune phenotyping, flow
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and respect) and be responsible for the care and welfare of small rodent cancer models housed within the facility and help with maintaining a good standard of hygiene. Further details and weightings can
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modelling and cleansing plans, ensuring alignment of people, processes, and systems. Manage data from start to finish, including planning, execution, and validation. Stakeholder Collaboration: Collaborate
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negative mammogram. This role provides scope not only to support these evaluations but also to develop and test your own models. As part of the role, you will help expand CC-MEDIA by collecting and curating
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will be addressed using a series of behavioural and electro-physiological experiments with Cochlear Implant users, as well as comparing the outcomes with predictions from existing computational models
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computational scientists to develop advanced algorithms and models. Research and validate potential biomarkers associated with breast cancer progression, treatment response, or patient outcomes, using