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details and apply Overview About the Role Applications are sought for the post of Senior Lecturer / Reader in Medical Statistics / Epidemiology, in the Centre for Advanced Cardiovascular Imaging within
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postgraduate degree, ideally a doctoral degree, in a relevant topic. The role requires skills and expertise in data science, statistics, and quantitative epidemiology. The position is based within a research
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View All Vacancies Health Services Research & Policy Salary: £51,299 to £71,192 per annum, inclusive. Closing Date: Friday 17 May 2024 Reference: PHP-HSRP-2024-07 The London School of Hygiene & Tropical Medicine (LSHTM) is one of the world’s leading public health universities. Our mission is...
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expertise spanning biostatistics, environmental epidemiology, data science, statistical computing and climatology. Candidates are required to either have an undergraduate degree in statistics or epidemiology
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are part of a vibrant group of researchers at the Royal Veterinary College and University of Melbourne working to understand the pathophysiology of cardiovascular and renal biology from the molecular
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include: researching issues of current or potential interest to IMMANA and the ANH Academy; producing epidemiological and statistical analyses; working on systematic reviews; and drafting research outputs
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includes overseeing all data management processes and data linkage tasks and activities for a portfolio of projects, preparing statistical analysis plans and preparing and analysing data. The post-holder
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partnership to achieve excellence in public and global health research, education and translation of knowledge into policy and practice. We are seeking a statistical modeller with an interest in climate
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. The main focus of Centre for Advanced Cardiovascular Imaging is to apply statistical, multi-omics and machine learning approaches to national-scale imaging studies. About Queen Mary At Queen Mary University
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degree, ideally a doctoral degree in mathematical modelling, statistics, epidemiology or another relevant discipline with a strong quantitative component. Candidates should also demonstrate experience in