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-cognition, exposome and neuroimaging data. Under the supervision of Professor Agustín Ibáñez, the Fellow will contribute to harmonisation international datasets and developing multimodal statistical and
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the brain representations that form the foundations of cognition. These powerful representations allow the infant to rapidly master many tasks during childhood. The InfantNeuroAI project aims to measure these
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the brain representations that form the foundations of cognition. These powerful representations allow the infant to rapidly master many tasks during childhood. The InfantNeuroAI project aims to measure these
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mission to contribute to the discovery of new knowledge for a better world. Informal enquiries regarding the post may be directed to: Professor Chris Exton Department of Computer Science & Information
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review where gaps are identified in knowledge or understanding of a topic To be successful in this role you will need: • Postgraduate qualification / research experience in relevant field, PhD
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operations of the Max/SBF project (Maximise support for breastfeeding for sustainable population health and wellbeing: Integrated knowledge translation approach). The Research Fellow will have responsibility
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providing photonics knowledge/skills and system integration/prototyping solutions for SMEs. Critical to this is the employment of senior research engineers and PRDAs to lead and implement the industrial
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support transfer of knowledge to other design teams. The project is approaching the mid-way point of its three-year duration. Application Procedure Applicants should submit a cover letter and full
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, through the advancement of knowledge of soft tissue mechanics and the use of non-invasive imaging techniques. The aim of this project is to create and test biomimetic silicone-MEW valves and optimise
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for the optimisation and development of medical devices, particularly cardiovascular and urological devices, through the advancement of knowledge of soft tissue mechanics and the use of non-invasive imaging techniques