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health behaviors. The position may include some classroom teaching in statistics and/or research methods. The position affords opportunities for professional development and advancement, with guidance
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responsibilities of the job - Access and analyse national cancer registration data, population statistics, and mortality data by ethnicity. - Calculate ethnicity-specific absolute risk thresholds and estimate
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digital health technologies, and analyzed using innovative statistical methods. PhD project 1 will focus on systematic ways to engage patients and include their perspectives on health care innovation in a
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be based in the School of Computer Science and Statistics at Trinity College Dublin, Ireland and will be funded under the Science Foundation Ireland Investigators award project. The researcher will
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and statistical data analysis Excellent written and spoken English skills Experience with TMS and proficiency in relevant software (e.g., MATLAB, R, Python, or SPSS) is an advantage Key responsibilities
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statistical inference, optimisation, microeconomics, scientific methods Elective courses in economics, finance, or optimisation Management Science Dissertation on a topic in logistics, operations management
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with corpus collection and annotation Familiarity with experimental design and statistical analysis methods Fluency in English Not required, but desirable: Familiarity with speech processing
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design. This role is ideal for candidates with strong wet-lab experience in microbiology, molecular cloning, and antimicrobial assays. A working knowledge of basic statistics is required. Additional
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statistics, health economics, or in a scientific discipline relevant to healthcare (assessed at: application) Have demonstrated experience in relevant research methods, for example through publications in peer
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the unique opportunity to develop skills in analytical, statistical and data science techniques, working with real world data to provide recommendations for UKHSA on how pharmacy OTC data could be used