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. Responsibilities will include data collection and processing using statistical software such as R or Python. The role is funded by UK Research and Innovation under its “Creating Opportunities Evaluation Development
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We are seeking a talented researcher with at least 4-years postdoctoral experience in epidemiology, health data science or medical statistics. You will be responsible for establishing a large health
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addressing complex health and social care challenges of the 21st century. We employ traditional statistical and epidemiological methods, alongside cutting-edge artificial intelligence algorithms to gain
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surveys. The post-holder must have a postgraduate degree in a field related to Public Health Nutrition, Epidemiology, or Public Health, with demonstrated strengths in geospatial and statistical methods
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statistics. You will be responsible for establishing a large health record linkage cohort to enable research degerming whether conception by assisted reproductive technology (ART), compared to conception
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patients, carers, professionals and other relevant individuals Analysis of data using appropriate statistical and other packages e.g. SPSS, Excel Contribute to the dissemination of study results, knowledge
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working relationships with a wide range of expertise from psychiatry, surgery, emergency medicine, intensive care, statisticians and health economists. The post holder will receive training in statistics
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dissemination. Successful candidates should have completed, or be near to completing, a PhD in Psychology, and should be proficient in advanced statistical methods, especially those involved in analysis
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synthesis methodologies Desirable • B1 - Knowledge of health economics and health technology assessment Skills Essential • C1 - Excellent skills in appropriate statistical software commonly
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motivated and have an advanced degree (Ph.D.) in computer science, electrical or biomedical engineering, physics, statistics, or related fields. Previous experience in software development practices (version