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University's Biostatistics Research Group (BRG, www.newcastle-biostatistics.com ). Funding is available for a Research Associate to work on developing and applying innovative biostatistics methods to design
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schemes and a number of health and wellbeing initiatives to support you. Closing Date: 30 May 2024 The Role We’re pleased to announce a new role based within Newcastle University’s Biostatistics Research
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View All Vacancies Overview of the Role Do you have experience of teaching medical statistics/biostatistics? Would you like to work in an academic environment delivering statistics teaching and
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About us The Centre for Sports and Exercise Medicine is an integral part of the Bloomsbury Campus of the Division of Surgery and Interventional Science. We are seeking to appoint an enthusiastic and proactive researcher to work on a set of complementary projects investigating the...
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application of Bayesian methods to infectious disease epidemiology. The post-holder will be part of Professor De Angelis' team within the Population Health Theme at the MRC Biostatistics Unit (MRC-BSU) working
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application of Bayesian methods to infectious disease epidemiology. The post-holder will be part of Professor De Angelis' team within the Population Health Theme at the MRC Biostatistics Unit (MRC-BSU) working
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application of Bayesian methods to infectious disease epidemiology. The post-holder will be part of Professor De Angelis' team within the Population Health Theme at the MRC Biostatistics Unit (MRC-BSU
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completion of a PhD/DPhil or other doctoral-level qualification in epidemiology, biostatistics, big data or a relevant discipline. With demonstrable experience of working with population registers and large
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Hospital NHS Foundation Trust, you will benefit from a culture that nurtures the development of young researchers. You will have a Masters or Doctoral degree in Biostatistics, Health Data Science, or a
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.’ About you As the successful applicant, you will have a PhD in a relevant area (e.g. Biostatistics/Medical Statistics/Epidemiology) as well as experience in advanced statistical modelling techniques