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customers and staff and personally taking action to resolve security issues and deliver an excellent support service to enhance the student experience. Promote a positive image of the University at all times
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Please note that this position is only open to elected student representatives from the 24/25 academic year. Job Purpose The Project Officer (Staff-Student Partnerships Enhancement) role will
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, the PET Research Development Manager will play a lead role in promoting and managing a translational PET imaging research strategy both for the School and across different Schools and Colleges, helping
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/Qualifications Essential: A1 Scottish credit and qualification framework level 4 (National 4) or equivalent experience of working in a similar role. Desirable: B1 Knowledge of Photography such as image resolution
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systems to the brain imaging of human behaviour and cognition as well as social level investigations. PhD: 3-4 years full-time; 5 years part-time; MD (Doctor of Medicine): 2 years full-time; 4 years part
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techniques including behavioural analysis, functional imaging, and brain stimulation. Together, these are used to provide a picture of the unique and privileged processing that occurs to memories offline
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Desirable D1 Commitment to open research through open data, code and other practices that support replication. D2 Knowledge of UK public health policy and the role of local authorities Experience Essential E1
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, including animal models of hypertension and PE, cell culture, imaging, molecular biology approaches as well as RNASeq and other ‘Omics’ datsets and bioinformatic and pathway analysis. This PhD project will
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necessary for different audiences and different channels. Tasks include commissioning and sourcing content (text, image and audio/video), editing, sub-editing, writing, proofreading and overseeing design and
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transition from existing TRE provider (Robertson Centre for Biostatistics) to long-term operational sustainability. 3. Support the delivery of key demonstrator AI/ML projects (digital pathology, imaging, NLP