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computational modeller to join our multidisciplinary team in an exciting programme of work, funded by the British Heart Foundation, to advance the use of novel in-silico approaches to provide patient-specific
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‘Work, Welfare Reform and Mental Health’ programme. This involves collaborating closely with an interdisciplinary team of researchers as well as the Centre’s academic and community partners, as part of
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towns programme, organise and run patient and public involvement events to engage with community members and innovate, contribute to and promote the research, publication and impact focus of the centre in
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cell-based assays. You will possess strong experimental design and data analysis skills, with the ability to independently plan, execute and troubleshoot complex experiments. You will have highly
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of the microgrid ii) develop the optimal sizing method for microgrid using programming software like Python or Matlab, implement it for case study areas, and iii) prepare research reports and contribute to project
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is focused of molecular inorganic chemistry, and the successful candidate will contribute to our current programme of investigations focused primarily on mechanistic studies of photoredox catalysis
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or innovative solutions. To liaise with research colleagues and make internal and external contacts to develop knowledge and understanding to form relationships for future research collaboration. To plan and
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will contribute to an exciting, interdisciplinary programme developing next-generation human in vitro models of pain. The project aims to recreate the complex multicellular interactions that underlie
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development towards optimizing and understanding sonochemical nitrogen fixation to help advance our internationally leading programme of research. This work will also contribute towards building a case for a
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understanding of research impact. Able to outline a credible 2-year plan for publication of PhD research and/or new research All applications should include: 1) a cover letter (max 2 pages); 2) a CV; 3) a single