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combines virtual reality, computational modelling, and task-based functional MRI, including with pharmacology and eye-tracking, to translate a well-established biological phenomenon – behavioral tagging
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expression – and their role(s) in epilepsy. The candidate will use a combination of cell culture and rodent models to interrogate the mechanistic and therapeutic effects of novel microRNA-based therapies. In
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The University of Manchester The University is a global institution known for innovation and world firsts, with 25 Nobel Prize winners. The computer revolution started here in 1948 when a machine
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on neurovascular health using preclinical mouse models of Alzheimer’s disease and AD risk (https://wellcome.org/research-funding/funding-portfolio/funded-grants/does-menopause-enhance-alzheimers-disease-risk). The
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cultural heritage is mirrored by the achievements of some of the University’s most celebrated names. The computer revolution started here in June 1948 when a machine built by Tom Kilburn and Sir Freddie
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industrial age, to a team building what comes next, the University of Manchester has been redefining what’s possible for nearly 200 years. From splitting the atom to founding the modern computer, our legacy
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emerging business models, sector trends and technologies to university people priorities. Translates knowledge into people resource, capability and culture requirements can articulate clearly the commercial
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modelling. Ideally, the candidate will have been active in the field of power system engineering with a background and experience in at least one of the following areas: i) power system steady-state and
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this project we will develop a novel experimental system that is complex yet tractable, enabling rich, coordinated multi-omics analysis coupled with computational modelling to deliver deep mechanistic insight
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samples, primary cell co-cultures, perfusion of tissues, focusing particularly on vascular aspects of the human placenta; and in vivo experiments in a pregnant rat model, with a major focus on fetal