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. Candidate Requirements A strong academic background in Engineering, Mathematics, Physics, Architecture or Computer Science. An undergraduate degree with at least 2.1 in one of the above subjects is essential
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Engineering, Control Engineering, Physics or Mathematics (or equivalent) for appointment at Research Associate level and have previous experience in research and innovation in IBRs and power systems. You should
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This PhD project explores the use of plasmonic nanostructures for trapping and spectroscopic characterization of proteins, enabling real-time, label-free studies of their structure, dynamics, and interactions. The research will focus on designing plasmonic platforms to trap proteins...
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mathematical perspective? Are you an innovative and productive team player who enjoys being part of an interdisciplinary team which works on cutting-edge questions ranging from mathematics and theoretical
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This project responds to a three-year marine litter monitoring campaign on the Isle of Skye, Scotland, UK. It builds on Loughborough University’s 50 Years of Litter on Skye and associated research projects. Integrating environmental, engineering, and social science methods, the interdisciplinary...
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, or expect to gain, a minimum 2:1 Honours degree or international equivalent in a subject relevant to the proposed PhD project (inc. computing, mathematics, engineering etc.). Enthusiasm for research
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We are recruiting a PhD student to integrate data-driven methods with NMR spectroscopy to enhance the characterisation of cell culture media and metabolites, increasing throughput and reducing manual intervention. This is an EPSRC funded Industrial Doctoral Landscape Award PhD project and is...
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deliver models and tools that enhance the stability and reliability of future low-inertia power systems. You must have a PhD in Electrical Engineering, Control Engineering, Physics or Mathematics
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Engineering, Physical Sciences, and Mathematical Sciences. Why chose UCL? UCL has a history of academic excellence and is consistently ranked among the world's top universities, with many of our faculties
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industrial partner, this project aims to develop a novel modelling and analysis approach to address the mathematical and technical challenges of the fluid-structure interaction (FSI) mechanisms globally