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experience in data management, health data science, medical statistics, epidemiology, or a related discipline. We would welcome applications from people with advanced data science, epidemiological
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remotely). You will have or be close to the completion of a PhD or equivalent in computational sciences (Mathematics, Engineering, Computer Science, Statistics), together with relevant research experience
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violent outcomes such as domestic and sexual violence. Your responsibilities will include coordinating and managing the project, overseeing the research database, conducting statistical analyses
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will hold (or be close to completion of) a PhD in epidemiology, nutritional epidemiology, molecular epidemiology, medical statistics or other relevant subject. You will also have an excellent
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learning, statistics/Bayesian probability is essential. You must be able to demonstrate the ability to mentor and supervise research students and assistants as well as the ability to work independently and
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is essential, as well as a high level of expertise in R coding and the application of statistics to multivariate datasets. The person hired will be required to travel to the Royal Botanic Gardens
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searches, data set curation, and the statistical evaluation software used for limit setting or discovery. They will contribute to LZ operations and performance optimization. This will involve adapting
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statistical approaches to the study of the genetic architecture of human complex traits, with a focus on modelling statistical interactions between genetic mutations in DNA using Biobank-scale data
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to work collaboratively across disciplinary boundaries is essential. The successful candidate must hold a relevant PhD/DPhil in information engineering, computer science, statistics or a commensurate
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pathways. You will also have the freedom to determine your own research approaches within this broad framework. You will have or be close to the completion of a PhD in statistical/computational genomics with