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Fixed Term until 30th September 2027, Full Time Our Mission Coventry University is a global Education Group that empowers students and communities to transform their lives and society through teaching, learning, research, and enterprise. An ambitious and innovative university, our research is...
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joint homeostasis. The successful candidate will work in close association with other lab-based scientists and computational biologists in the Croft lab as well as collaborators in Great Ormond Street
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the College’s small animal referral hospital by further developing and delivering advanced cardiac surgical therapies through the open heart surgery programme, at the Royal Veterinary College. We are looking
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dissemination in some branch of the Humanities, Sciences or Social Sciences. The successful candidate will be expected to propose, plan and manage a high-quality programme of original research; publicise
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Research Hub. Funded by the Higher Education Authority of Ireland, SLSS is an ambitious programme of activity. It brings together two academic institutions (University of Limerick and Queen’s University
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opportunity to join a multidisciplinary team of researchers, clinicians, and patient partners on a 5-year collaborative research programme funded by a Wellcome Mental Health Award, ‘When your body betrays you
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with diagnoses such as Borderline Personality Disorder. The role will be key in supporting the Research Fellow and Hub Director to deliver the research programme, whilst working closely with partners
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) in joint homeostasis. The successful candidate will work in close association with other lab-based scientists and computational biologists in the Croft lab as well as collaborators in Great Ormond
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the Faculty to build their computational skills. As Senior Bioinformatician, you will be responsible for maintaining reproducible, scalable workflows and for liaising with wet-lab scientists, statisticians and
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the Department of Inflammation and Ageing at the University of Birmingham. The successful candidate will work to deliver high level computational analysis of immune cell subsets in patients with cutaneous lupus