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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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Job Description Would you like to contribute to solving some of the most critical challenges industrial coatings are facing today and are you looking for a carrier in R&D or academia? At CoaST
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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
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/intermediate programming skills in R and/or python Ability to adapt to the research environments while being full members of two labs Desirable skills statistical analysis basic processing of NGS data experience
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of Reference for Languages (CEFR) Technical equipment and programmes Much of the programme coursework requires the use of statistical programmes. Most students will use R software, although some students will
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in English, both written and spoken, with the ability to communicate complex ideas clearly; - who has experience with statistical programming (e.g., Stata, R); - who is motivated to study policy