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About the Role QMUL and Barts Health NHS Trust is currently implementing an end-to-end electronic transfusion service at four of its hospitals, supported by the Barts Charity. As part of this important project, the main duty of this post will be to develop, design and validate a Transfusion...
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Learning Developer to evolve our digital learning portfolio and enhance online products and services. You will experiment with new content, technologies, and trends to future-proof our portfolio, delivering
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About the Role You will develop and apply novel computational methods to quantify the societal impact of fundamental science discoveries. Candidates close to completion of their PhD will initially
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collaborate with two postdocs specialising in experimental mechanics and materials science and PhD students. About You You should have a PhD degree in Computational Mechanics or a relevant subject (e.g
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decisions during the pre-conception, antenatal, and post-partum periods. The post-holder will undertake original, practice-based design research, drawing on participatory and co-design methods, as
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” which examines signal processing and machine learning methods for inferring active travel activities from optical fibre signals. About You Applicants must have an Undergraduate Degree in Computer Science
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supervised by Dr. Damien Tully and applicants are encouraged to contact Dr. Tully (Damien.Tully@lshtm.ac.uk ) for an informal discussion prior to submitting a formal application. The post-holder will have a
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suite of programs and experience of CAD and CAM software. About the Department This post is within the School of Engineering and Materials Science, a large School with 70-80 academics and a similar number
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help supervise BSc, MSci, and PhD students. The successful applicant will have a PhD in Astrophysics, Theoretical Physics, or a related discipline and prior experience relevant to the post. It is also
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computational methods (Efremova et al. Nature Protocols, 2020; Jain et al., Genome Biology). About You PhD in a biological or computational subject and background in working with genomics data. About the School