58 parallel-computing-numerical-methods-"Simons-Foundation" positions at University of Leicester in United Kingdom
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://www.leicestershospitals.nhs.uk/ and the Public Health Service who are developing a programme of high-quality research within the NIHR Leicester Biomedical Research Centre (BRC) directed at respiratory disease, multimorbidity
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postgraduate qualification in medical statistics. You will be able to demonstrate you are an expert in a range of quantitative research methods and statistical analysis software packages having applied your
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the ability to give and receive information effectively using a variety of methods to communicate with a wide range of university staff, students and agents. Most importantly, you have a passion for providing a
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About the role We are seeking a Research Assistant to join the School of Healthcare and contribute to the Paediatric Intensive Care Audit Network (PICANet), an internationally recognised programme
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About the role We are seeking a highly organised, motivated, enthusiastic person to join the DECIDE-TAD team to develop methods that promote the inclusion of underserved groups in a multi-centre
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About the role We are looking for a motivated and talented Research Associate to join the Leicester Lifestyle and Health Research Group (LLHRG) and contribute to our innovative programme of
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research program. This program focusses on the clinical translation of research findings with the use of implementation science and candidates should have relevant backgrounds in kidney health research
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-term sustainability of the service.The post is funded through the substantial investment through the iDAH programme of the AHRC, and forms part of a wider body of work to develop the Museum Data Service
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analytical methods. Experience working with Mycobacterium tuberculosis or other Class 3 pathogens is essential, particularly in conducting infection studies using cell lines or clinical samples and in drafting
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and 4-year PhD programme, the van Geest MultiOmics facility, a NIHR Clinical Research Facility including a dedicated 3T MRI research scanner (BHF funded Siemens Vida with multinuclear capability) and