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of Machine Learning in Finance (3) Empirical Finance and Climate Finance We provide a rich and engaging research environment for the student. The PhD scholarship offers an attractive package including a tax
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with carrying out original research to develop new machine learning approaches to link different scale geochemical-mineralogical-petrophysical datasets within a 4D geological framework. An initial focus
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the development of high-fidelity finite element models to investigate surface wave propagation in soft biological tissues, forming the foundation for subsequent statistical and machine learning
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of high-fidelity finite element models to investigate surface wave propagation in soft biological tissues, forming the foundation for subsequent statistical and machine learning frameworks that integrate
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laboratories and tutorials as part of the scholarship. Tasks: The successful candidate will be involved in: 1. Devising and implementing algorithms for machine learning (ML) on hypergraphs generally and CRNs
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are seeking an experience Postdoctoral researcher to work on an Enterprise Ireland funded project at the intersection of statistics, machine learning and digital medicine. This is a collaborative project
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emphasis on machine learning applications in asset pricing and corporate finance, alongside traditional econometric and factor modelling techniques. The successful candidate will play a pivotal role in