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Status: Open Applications open: 11/09/2025 Applications accepted at any time View printable version [.pdf] About this scholarship Description/Applicant information Please note that this is for
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of first-principles methods (strongly correlated systems), Monte Carlo, Landau-Lifshitz-Gilbert equation techniques, and data-driven approaches (database mining, machine learning). Access to computational
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, the potential to reduce mining for critical minerals needed in component manufacturing, and cut pollution (linked to both the corrosion product and also the less efficient waste combustion with component uses
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candidate. The PhD project will focus on data analytics, data mining, and statistical modelling of complex biological system in crops. The project will have access to large volume of state-of-the-art Next
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.) Knowledge of machine learning, data mining, or related fields Excellent communication skills and ability to work in a collaborative team environment Interest in social science research methods and theories
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challenging for clinicians and pregnant women. Digital health records, advances in big data, machine learning and artificial intelligence methodologies, and novel data visualisation capabilities have opened up