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or related discipline to develop their data analysis and modelling skills and experience, applied to the field of health economics. We wish to encourage people who have strong quantitative skills who may be
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working full-time. An exciting opportunity has arisen for a talented graduate in a quantitative STEM, psychology, health or social sciences or related discipline to develop their data analysis and modelling
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data analysis for metal additive manufacturing (AM). UDRI is a national leader in scientific and engineering research, serving government, industry and nonprofit customers. This is a full time benefit
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-programmes/data-science. Key Responsibilities: Communication with researchers to understand biological problems Facilitate the translation of biological problems to actionable computational analysis plans
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(completed within the last 5 years) Demonstrated experience in educational research methodologies (quantitative, qualitative, or mixed methods). This includes skills relating to: Statistical analysis
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institutional and regulatory guidelines Manage and preprocess biosignal data for analysis and AI model training Collaborate with partners on prototype testing and development Assist with mobile app testing and
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and Impact team. We are currently seeking a candidate to assist with data analysis and visualization in an internally funded research project. The individual selected for this role will format data
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to present findings, discuss analysis strategies, and provide project updates. Conduct literature reviews and contribute to the writing of manuscripts. Assist with day-to-day operational and logistical tasks
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offers the opportunity to work at the intersection of experimental neuroscience and computational data analysis, making it ideal for motivated individuals interested in pursuing graduate or medical
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-source software packages. As a Research Assistant, your primary duty will be to support the analysis of real-world data mapped to the OMOP Common Data Model, contribute to wider project planning, including