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Research Assistant within our Populations Theme, exploring how cardiovascular disease and multiple long-term conditions intersect—especially across diverse ethnic groups. Hosted by the Leicester Real World
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this role, you will manage your own academic research, get involved in project management and coordinate multiple aspects of work. With the project team, you will execute a realist review (with methodological
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About the role We are looking for a Postdoctoral Research Associate to join the AMBER consortium (Advanced Multiscale Biological Imaging using European Infrastructures) involving multiple
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, or substantial experience in a similar role. Your ability to manage multiple priorities in a fast-paced, customer-focused environment will be essential, as will your working knowledge of recruitment systems and
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into the implementation of interventions to improve care for people with multiple long-term conditions in primary care, funded by the NIHR Applied Research Collaboration (ARC) East Midlands. The post will involve
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, electrophysiology, and molecular biology, and be able to work both independently and collaboratively across multiple sites About you The ideal candidate will hold (or be close to obtaining) a PhD in a relevant life
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support to the NIHR Global Health Research Centre for Multiple Long-Term Conditions, working with our partnering organisations across the UK, India and Nepal to improve health outcomes worldwide. In
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be confident managing multiple priorities, leading a team, and using systems to support bookings, reporting, and service delivery. Your communication skills will be key, as you’ll liaise with students
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-of-the-art mass spectrometers, most recently a brand new timsTOF HT platform for high throughput plasma proteomics and multiple automation platforms such as the Andrew+ and Bravo AssayMAP. You will work
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construction plant operators. We are also looking to apply novel study designs to evaluate our interventions such as micro randomization trials, factorial randomized controlled trials, and sequential multiple