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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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: Design and implement models for a knowledge graph as part of an R&D team. Research methods and techniques for populating the knowledge graph. Develop models or algorithms to facilitate risk identification
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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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-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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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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organised, communicates well and enjoys the challenge of managing to fit multiple commitments in any given day for a very busy Director. You will be a skilled and insightful individual, ideally with
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responsible for working with the EpRG to manage multiple studies within the research portfolio. These will include LifeMap QUEST, an NIHR i4i-funded clinical study to confirm the safety and tolerability of a
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strong analytical and problem-solving skills, and be confident providing guidance, training, and support to others in the lab. Experience with multiple cloning methods (e.g., Golden Gate, Gibson) and
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to have attention to detail, good time management skills and an ability to work across multiple simultaneous projects. Additional information At the Clinical Trials Unit we are adopting a flexible approach
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to this role will be the management and coordination of complex tasks and the coordination of multiple stakeholders across the globe. Skill and dexterity in this role, as well as an understanding of microbiology