20 evolution "https:" "https:" "https:" "https:" "https:" "https:" "The University of Edinburgh" research jobs at University of Newcastle
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about the Faculty of Medical Sciences here: https://www.ncl.ac.uk/medical-sciences/ Find out more about our Research Institutes here: https://www.ncl.ac.uk/medical-sciences/research/institutes/ As part of
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this role, you will be involved in the planning, management and delivery of a fast-paced 8-month project on water resources. You will lead the design, development and execution of a multi-model simulation
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development of PD treatments. To apply for this role, you will need to have a PhD in Biomedical Engineering, Clinical Engineering, Computer Science, Movement Science or a related field, or, close to submission
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collaboration with Edinburgh University. You will be embedded within the Newcastle Fibrosis Research Group in the Biosciences Institute at Newcastle University, and the project will involve tissue cultures of pre
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colleagues in other disciplines and will provide support for interdisciplinary career development needs. You will benefit from a mentoring programme and bespoke personal development plan; an individual
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here: https://www.ncl.ac.uk/medical-sciences/ Find out more about our Research Institutes here: https://www.ncl.ac.uk/medical-sciences/research/institutes/ As part of our commitment to career development
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Institutes here: https://www.ncl.ac.uk/medical-sciences/research/institutes/ As part of our commitment to career development for research colleagues, the University has developed 3 levels research role
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-sciences/ Find out more about our Research Institutes here: https://www.ncl.ac.uk/medical-sciences/research/institutes/ As part of our commitment to career development for research colleagues, the University
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will collaborate with the computational linguistics team at the University of Pennsylvania, as well as with the other UK Co-I, Dr Lisa Gotthard (University of Edinburgh). During the second half
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reflect prostate cancer development and progression in Black men. Using advanced gene-editing techniques, spatial characterization of prostate tumoroids, and next-generation sequencing, we will identify and