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neurophysiological and neuro-immune profiling of the impaired skin barrier and maladaptive neuronal responses underlying pain in epidermolysis bullosa. About You The candidate will have a PhD in the field
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partners at NHS England and Nuffield Health. About You You will have a PHD (or close to completion) or experience at a comparable level in a relevant subject area. You will have experience of working with
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delivers measurable value. You will lead a high-performing team to build advanced analytics capabilities, including propensity modeling, marketing mix modeling (MMM), incrementality testing, and multi-touch
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degree, who hold an ACVECC Diploma. A background in research work in one of the College’s areas of special interest or hold a PhD, although desirable, are not essential. We offer a generous reward package
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-led by Queen Mary University of London. PharosAI is set to revolutionise AI-powered cancer care, accelerating the development of breakthrough therapies, advancing clinical applications, and improving
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this important project, the main duty of this post will be to develop, design and validate a Transfusion Platform that will allow for the data linkage between different electronic databases at Barts Health
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order to gain novel understanding of the molecular mechanisms underlying disease. About You You will have a PhD (or equivalent qualification) in computer/statistics/data science or similar field. You will
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PhD (or close to completion) or research qualification/experience equivalent to PhD level in the relevant subject area for the research programme; with a productive track record and have experience
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research project on cardiovascular risk prediction for people with immune-mediated inflammatory disease. The successful candidate will use advanced risk prediction methods to develop prediction models
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postgraduate degree, ideally a PhD, in statistics, machine learning, or a related field. Experience of developing new statistical methods and a strong working knowledge of a statistical software package, such as