3 data-"https:"-"https:"-"https:"-"https:"-"I.E"-"UCL"-"UCL" positions at Coventry University Group
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dives into data from online consumer feedback and the embedded environmental footprints of each stem. This project will focus on the interface between the product’s aesthetic and data-augmented generative
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. Data-driven methods (including machine learning) may be used to support and enhance these models. No prior experience in all areas is required — full training provided through the Fusion CDT. You will
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representation of streamlines inferred from geomagnetic data, from Finlay et al. Nat. Rev. Earth Environ., 4:377–392, 2023 and numerical simulations by Schaeffer et al. Geophys. J. Int., 211(1):1–29, 2017
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