50 parallel-processing-bioinformatics Fellowship research jobs at UNIVERSITY OF SOUTHAMPTON in Uk
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An exciting opportunity is available for a talented researcher to join a successful team within the Primary Care Research Centre to support the process evaluation and implementation of a digital e
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to have strong quantitative skills and experience of working with large gridded geospatial datasets. They will focus on designing approaches to process and utilise such datasets in population modelling and
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applications. Combining organic synthesis, photophysical characterisation and advanced biological techniques, this project seeks to deliver next generation precision therapeutics for hard-to-treat cancers
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chemical processes, supporting the translation of innovation from the laboratory to pilot scale. The successful candidate will focus on the mechanistic modelling of carbon dioxide conversion and other
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of methane at high concentrations both from gas-fed bioreactors and through modification of conventional anaerobic digestion processes. The research is intended to assess the optimum conditions and the
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approaches to understand fundamental biological processes, with the goal of using this information to generate engineered antibodies for use as therapeutics in cancer and autoimmune disease. The appointee is
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generation precision therapeutics for hard-to-treat cancers. The successful applicant will join a growing interdisciplinary research team working at the interface of supramolecular chemistry and biomedicine
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process evaluation and implementation of a digital e-health intervention for young people with acne (Acne Care Online ). The post is available under the supervision of Professor Miriam Santer and Dr Rosie
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an application via Southampton University. As part of the application process, please arrange for three confidential recommendation letters to be sent by your references to the following e-mail address by
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to working collaboratively within a multidisciplinary team Application process: For further information or an informal discussion prior to applying, please contact Professor Maggie Donovan-Hall at mh699