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trial from conception to dissemination 4. Familiarity with statistical software packages such as STATA, and/or R 5. Experience in the design and analysis of Monte Carlo simulation studies
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for: Leading the process of integrating data from Project FOREVER with data from Statistics Denmark. Investigating how self-reported glaucoma aligns with clinically verified glaucoma. Validate disease case
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for research aspects. Configure a ticketing system to handle incoming requests from researchers across the TECH faculty. Implement statistics and analysis tools to evaluate usage of infrastructure. You will be
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countries. The ranking is based on recognized EU data sources such as CORDIS and Erasmus+ as well as publication and citation statistics based on the Scopus database, and patent statistics from the European
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, epidemiology, public health, or a closely related field. Experience in field epidemiology, data collection, management, and statistical analysis. Proficiency in statistical software (e.g., R, GIS, Python) and
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, Statistics, or a related field, and with the interest and ambition to carry out a PhD study within the transport science domain. The successful applicant will work on research focused on the fleet replacement
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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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collection (e.g., conducting psychiatric interviews and administrating cognitive assessments) 3. Experience of recruiting participants 4. Able to use statistical packages such as SPSS, Stata, R Downloading a
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in geology, genetics, ecology, evolutionary biology, computer science, statistics, and more. During onboarding, there will be particular emphasis on facilitating integration in the Center and the