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- 
                Field
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                terahertz (THz) radiation and the collective vibrational modes of biological macromolecules is an emerging field in physical chemistry. Terahertz radiation can be exploited to studying spectroscopic and 
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                computations possible [1]. However, proven scientific applications for quantum computing remain mostly limited to quantum chemistry, materials, and particle physics. Since CFD is one of the most demanding use 
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                computational methodologies/AI that advance our ability to design reliable engineered biosystems (if the candidate has strong math/computer science background), or building new robotic measurement and control 
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                Terahertz (THz) is a rapidly expanding field with notable importance for a myriad of disciplines such as physics, chemistry and biology. In the context of material science, optical-pump terahertz 
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                and optimization of machine learning methods. Candidate’s profile An ideal candidate would typically have: a strong degree or higher qualification in a relevant field (e.g. computer science, mathematics 
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                June 2026 (self-funded) About the department The Department of Economics at City St George’s, University of London is a leading centre of excellence for research and teaching in economics. The 
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                programme) clearly stating the title of the project and the name of the supervisor, Dr. Miguel Navarro-Cía (m.navarro-cia@bham.ac.uk ). Funding notes: Applications are sought from highly motivated students 
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                Geography, Biology, Chemistry, Earth Science or Environmental Science, Computer Science, Engineering, or an appropriate Master’s degree. English language requirements: Applicants must meet the minimum 
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                of Birmingham and afield. You can apply here: https://sits.bham.ac.uk/lpages/EPS019.htm (engineering programme) or https://sits.bham.ac.uk/lpages/EPS005.htm (physics programme) clearly stating the title 
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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