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Liverpool where, in the School of Computer Science and Informatics, we have an active group of PhD students, postdocs, and academics working at the intersection of Machine Learning, Verification and
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the PhD student in high-performance computing, computer programming, applied mathematics, fluid mechanics, mathematical modelling and data analysis for large datasets -of the order of 100 Terabytes
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PhD studentship: Understanding the retention and treatment of highway runoff pollutants within roadside bioretention systems – and implications for design and long-term maintenance Award Summary
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operational data and machine learning. You will be based at UCL mechanical Engineering, and collaborate with industry and port partners on system design, prototyping, and lab-based trials. Key responsibilities
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skilled graduates through research projects that use industrial challenges as the catalyst for methodological advance. Work directly with leading industry partners Many of our PhD projects are developed and
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and trends in wall adhesion. Through Syngenta’s involvement, we will have access to experimental to guide the project inform modelling decisions. Project Objectives for the PhD project The aim
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We are a world class research-intensive university. We deliver teaching and learning of the highest quality. We play a leading role in economic, social and cultural development of the North East of
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Overview The International PhD in Applied Psychology is a partnership involving Nottingham Trent University, Ramon Llull (Barcelona) and Universidade Catolica Portuguesa (Porto) that provides a
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One Research Associate position exists in the data-driven mechanics Laboratory at the Department of Engineering. The role is to set up a machine learning framework to predict the plastic behaviour
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We are a world class research-intensive university. We deliver teaching and learning of the highest quality. We play a leading role in economic, social and cultural development of the North East of