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related field, and a strong interest in biomedical applications. Experience in machine learning, statistics, or high-dimensional biological data analysis is advantageous. Ideal candidates are curious
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exploitation of PRIDE (Planetary Radio Interferometry and Doppler Experiment) observations by developing and applying open, reproducible analysis pipelines for deep-space mission tracking. You will be embedded
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Ultracold Atom Quantum Sensing Testbed , which will allow you to learn about many interesting projects related to your PhD, such as creating a European optical time and frequency distribution network
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academic activities with creativity and rigour, and demonstrate a proactive approach to empirical research, analysis, and writing. Your work combines a strong theoretical grounding with applied knowledge
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have an affinity with Digital Humanities, especially with network analysis and visualisation tools (e.g. Nodegoat, Gephi). You are able to conduct independent academic research and present your findings
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. Flow stability analysis tools available in our team can be used, including Orr-Sommerfeld solvers, linear/non-linear Parabolised Stability Equations and our non-linear Harmonic Navier-Stokes solver