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spectroscopy and Gaia data of star clusters to decipher the mystery of the Lithium-rich giant stars" (with Prof John Lattanzio) "The origin of the heavy elements: Computer simulations of neutron-capture
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a substantial research component, with First Class Honours/H1 or an equivalent high academic standing. The successful candidate will demonstrate the ability to conduct self-directed research while
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the optical-to-radio wavelength range, from major surveys and space telescopes (e.g: Gaia, SDSS, JWST, Hubble, Roman, Rubin-LSST). These are analysed using advanced machine learning and data-driven methods. My
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-ray speckle-based imaging, a simple and flexible technique using just a piece of sandpaper as an optical element to access the phase-contrast and dark-field image modalities. Using this method, I
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language processing, large language models, machine learning, network analysis, social media analytics, and large-scale analysis of online discourse and communities. This PhD scholarship will be based within