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process. The position would suit a talented and motivated early career researcher with a PhD in Physical Chemistry or Physics or with ultrafast laser spectroscopy. The following skills and experience
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generation of engineers and computer scientists. Play an active role in school activities and academic citizenship. A PhD in Electrical and Electronic Engineering, Physics, Computer Science or another relevant
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with the impact of infertility and its treatment with Assisted Reproductive Technology (ART) or Medically Assisted Reproduction (MAR) on molecular mechanisms, using epigenomic, transcriptomics
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Scientist and Clinical Senior Lecturer Dr Becky Foster, Associate Professor in Microvascular Medicine Prof Gavin Welsh, Professor of Cell Biology Prof Simon Satchell, Professor of Renal & Vascular Medicine
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of machine learning techniques to build predictive models for outcomes such as joint replacement; Mendelian Randomisation studies utilising genetic data in UK biobank and other cohorts to establish whether
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petrological modelling. This will not only create significant new insights into changing volcanic behaviour but is important to other project areas. So with their data, the SRA should develop collaborations
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epidemiologists and statisticians at the MRC Integrative Epidemiology Unit at the University of Bristol and the Bristol Medical School . The postholder will use the unique repeated measures data from the renowned
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students, research associates and excellence in data science within the medical school. The post-holder will develop an independent research programme within the ReMemBr group , a multidisciplinary group
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generation of engineers and computer scientists. Play an active role in school activities and academic citizenship. A PhD in Electrical and Electronic Engineering, Physics, Computer Science or another relevant
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Information Institute. QET Labs has a mission to take quantum science discoveries out of the lab and engineer them into technologies for the benefit of society. This includes novel routes to quantum computing