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engineering. Experience with experimental measurements, image-based diagnostics, laboratory testing or quantitative data analysis. Coding and analysis capability in Python and/or Julia, preferably with
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University Supervisor: Dr Mega Kar Graduate Research Degree: Doctor of Philosophy (course code: 3291) Application type: Candidature only Enquiries: Dr Mega Kar, [email protected] Applications close: Monday
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group’s projects often combine astronomy, coding, visualisation, and data science, and work well for students who enjoy either astrophysics, machine learning/coding, or both. The multidimensional structure
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nucleosynthesis in violent episodes suffered by ancient stars" (with Dr Carolyn Doherty) "Applying 3D stellar hydrodynamics findings to 1D stellar codes: Improving the modelling of convection in stars" web page
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bounds. Design transmission codes that achieve these theoretical limits, ensuring optimal trade-offs between detection avoidance, sensing accuracy, and communication reliability. Develop advanced
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spectroscopy" "Chemical abundances in star clusters using Korg, the first spectral synthesis code developed in two decades" web page For further details or alternative project arrangements, please contact
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. Analysis of this data will employ both qualitative and quantitative methods. Work on WP-2 will suit someone with an interest and aptitude for coding administrative data using large language models. It will
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the University’s code of conduct for research and student travel policy): Research Integrity Principles, Student Travel and Transport Policy (MPF1209), Graduate Research Training Policy (MPF1321), Academic Progress