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Reduced order modelling of land subsidenceIntern: Arthur ChaiDegree course: MEng Civil Engineering www.linkedin.com/in/arthur-chai-1b998a315 Why did you apply for this internship?I am a current 4th year civil engineering student at Durham University, presently waiting for my final year results to be released in the upcoming week. I aim to pursue a PhD in numerical geotechnical engineering, and my dissertation supervisor recommended this internship to me earlier in the year, as he is aware of my goal to undertake a PhD. As such, the internship is a good bridge to such a PhD, and will provide me with more research skills which I feel can be developed further following my dissertation earlier this year. Furthermore, I am looking to explore the field of numerical geotechnical engineering further, as my dissertation only covered one software, which was new and not as commonly used, whilst in the project for my internship, I will be using more commercial and widespread software. Finally, I wish to contribute to research and return to my department, as I am grateful for the years I spent at my university during my undergraduate degree. The chance to collaborate on this project is something that I am looking forward to.What do you hope to gain in completing this project?I hope to gain the technical skills, as well as the general skills involved in research, such as report writing and data analysis. Whilst they can be seen as generic or standard skills that most researchers will already have honed to a high level, I feel that I have yet to reach that level, and hope that as I can spend most of my time on the project (unlike during my studies at my university), I can finally improve myself further. As part of the project, I hope to improve my programming skills (Python), as well as computational thinking capabilities, which are a significant part of my project. I also hope to be able to contribute positively to this project that my supervisors are in charge of, as I am appreciative of the opportunity to have been selected for such an internship.
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Artificial performance analysis intelligenceIntern: Ethan Burkinshaw
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Visualising and Exploring Contextualized Arts and Humanities Collections with their scholarly articlesIntern: Samuel WaughDegree course: BSc Computer Science https://www.linkedin.com/in/samuel-waugh-31903b1bb/
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