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, AquaCrop) or experience with agricultural or environmental modelling. Some experience with programming in R and/or Python. Exposure to climate or weather data, forecasting systems, or geospatial tools
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critical data studies and willingness to reflect on data use and circulation. Demonstrable skills in scientific writing and data analysis. Knowledge of GIS and R and/or Python as a tool for data analysis
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-economical surveys and work is an advantage. Knowledge of R and/or Python as a tool for data analysis, statistics, and visualization is an advantage. Experience with work within local communities in West
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the position Demonstrated expertise in organization and analysis of quantitative datasets and statistical modeling in Stata or R Excellent written, verbal, and interpersonal communication skills
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Mechanical, Aerospace and Civil Engineering PhD Research Project Directly Funded UK Students Prof R Dwyer-Joyce Application Deadline: 30 September 2025 Details Novel Sealing for High-Pressure H2 and Low-Carbon
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participate in local research and development (R&D) projects. Key research areas include solar neutrinos, solar axions, and light dark matter. In addition, there is an opportunity to contribute to the slow
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learning, deep learning and relevant software framework (R and Python) is highly desired. Very good oral and written communication skills in English are required. Emphasis will also be given on personal
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Fortune. Title: Breaking the Dark Triad Supervisors: Professor Eric R. Igou (Eric.Igou@ul.ie ), Associate Professor Andrew Moynihan (Andrew Moynihan@ul.ie ) Project Description: This project will examine
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models and advanced statistical analyses to field data is necessary. You must have strong quantitative skills, or willingness to learn, including basic competence in the R programming environment. Your
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-solving skills. Essential quantitative skills include basic statistics, econometrics, and proficiency in using a statistical package such as Stata, R, or an equivalent. The candidate should have a