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should have substantial research experience in machine learning, statistics and bioinformatics and will develop models for biological age prediction from multiple image derived phenotypes. Expert knowledge
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carrying out statistical analysis. Please visit Work at UCL for further information. About you The candidate must have a PhD or equivalent working experience in epidemiology, global health, statistics
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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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clinical trials. The George Institute wishes to further develop its impact by focusing on efficient, patient-centered clinical trials. This is to be supported by the application of novel statistical and data
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equivalent professional experience in a field with significant use of both computer programming and advanced algorithmic, statistical or numerical techniques. Direct experience developing and deploying
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public and global health research, education and translation of knowledge into policy and practice. The school is seeking to appoint a Research Fellow in Medical Statistics, Data Science or Health
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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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user of Excel and statistics packages such as SPSS. They will be proactive in their approach to work and will be able to work both independently and as a part of team to meet agreed targets and deadlines
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, with staff drawn variously from economics, sociology, social policy, demography, psychology, anthropology and social statistics. We promote problem-solving interdisciplinary research on particular themes
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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