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through decentralised models. As Trial Manager, you will play a key role in coordination, and delivery of clinical study(s) within the CPTU. We are looking for an experienced and proactive individual
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2025. We seek to recruit a Research Associate specialising in statistical modelling and machine learning to join our multi-university multi-disciplinary team developing a groundbreaking technique based
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delivered through decentralised models. The role will primarily involve providing day-to-day administrative support for a diverse portfolio of clinical trials. The role will also be expected to offer ad hoc
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In Vitro Predictive Models to Explore Tendinopathy”. The project is funded by the Medical Research Council (MRC) and part of the organ-chip research work underway within the Centre for Predictive in
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For this role you will have a PHD in a relevant discipline (e.g. Computer / Data Science). With an enviable track record of relational database design and implementation (you will be responsible
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fellow position within the William Harvey Research Institute at Bart’s and The London Medical School, Queen Mary University of London (QMUL). The post-holder will work on projects including the PinG study
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Responsibilities Provide timely and accurate administrative support for all Degree Education and PhD courses offered by the department. Liaise with the Central Services team and Programme Offices to ensure efficient
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to their own research interests. About You Candidates should have a PhD in a relevant discipline or will have obtained it by commencement of the position. Candidates should have some experience in multi
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discipline such as Emergency and Critical Care, Cardiology or Anaesthesia and Analgesia. A background in research in cardiopulmonary medicine or surgery and a PhD, although desirable, are not essential. We
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background in research in cardiopulmonary medicine or surgery and a PhD, although desirable, are not essential. We offer a generous reward package and benefits including: Competitive and attractive pension