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leading role in the development and validation of new image analysis pipelines for complex total-body PET datasets, including kinetic modelling, parametric, and network analysis. 2. Support the
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, offering advice on best practices, and mentoring less experienced colleagues. 8. Engage with relevant internal and external networks, including local communities, NHS partners, and third sector organisations
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Job Purpose Iuav University in Venice and the University of Glasgow are pleased to announce a fully funded Joint Doctoral fellowship under the Marie-Curie Sklodowska Doctoral Network Scheme as part
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initiative, self-motivation, judgement and well-developed technical and problem solving capabilities and working logically through complex problems, from information gathering to satisfactory resolution
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2D materials for Net Zero electronics. Working with Dr Alexey Ganin in the School of Chemistry, you will play a key role in advancing scalable growth, functionalisation, and integration of 2D
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stakeholders where required, including the public. Be actively involved in appropriate cross-college collaborative working to build networks and share best practice. To interact and work collaboratively with 32
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-century, is the Cartan-Killing classification of simple finite dimensional complex Lie algebras. This classification forms the core of Lie theory, on which the rest of the theory is built. This project aims
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of professional CPD through development and active participation in relevant process and system user groups/networks both internal and external to the University. Knowledge, Qualifications, Skills & Experience
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Job Purpose You will contribute to/make a leading contribution to a project Enabling Net Zero and the AI revolution with ultra-low energy 2D Materials and Devices to develop next generation low
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Our research strength is identifying the causes of mental disorders and suicide to develop clinical trials of novel complex interventions. PhD: 3-4 years full-time; 5 years part-time; Apply now